Carlos A. Coello Coello

发表

Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces

Zexuan Zhu, Maoguo Gong, Jianqiang Li, 2021, IEEE Transactions on Evolutionary Computation.

Constraint handling techniques for a non-parametric real-valued estimation distribution algorithm

Carlos A. Coello Coello, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, 2007, 2007 IEEE Congress on Evolutionary Computation.

Ranking Methods in Many-Objective Evolutionary Algorithms

Carlos A. Coello Coello, Antonio López Jaimes, Luis V. Santana-Quintero, 2009, Nature-Inspired Algorithms for Optimisation.

Knowledge Incorporation in Multi-objective Evolutionary Algorithms

Carlos A. Coello Coello, Luis V. Santana-Quintero, Ricardo Landa Becerra, 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.

MOEA/D assisted by rbf networks for expensive multi-objective optimization problems

Saúl Zapotecas Martínez, Carlos A. Coello Coello, C. Coello, 2013, GECCO '13.

Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers

Carlos A. Coello Coello, Hugo Terashima-Marín, Iván Amaya, 2018, PPSN.

A Simple and Effective Termination Condition for Both Single- and Multi-Objective Evolutionary Algorithms

Carlos A. Coello Coello, Saku Kukkonen, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Auto-tuning fuzzy granulation for evolutionary optimization

Carlos A. Coello Coello, Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonchi, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Evolutionary multiobjective design of combinational logic circuits

Carlos A. Coello Coello, Arturo Hernández Aguirre, Bill P. Buckles, 2000, Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware.

Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, CIARP.

Introduction

Carlos A. Coello Coello, Norma Patricia Munoz Sevilla, Alexander Poznyak Gorbatch, 2013, CCE.

Evolutionary hidden information detection by granulation-based fitness approximation

Carlos A. Coello Coello, Mohsen Davarynejad, Chang Wook Ahn, 2010, Appl. Soft Comput..

Evolutionary Synthesis of Logic Circuits Using Information Theory

Carlos A. Coello Coello, Arturo Hernández Aguirre, A. H. Aguirre, 2003, Artificial Intelligence Review.

Evolutionary algorithms for solving multi-objective problems, Second Edition

Gary B. Lamont, Carlos A. Coello Coello, David A. van Veldhuizen, 2007, Genetic and evolutionary computation series.

Evolutionary multilabel hyper-heuristic design

Carlos A. Coello Coello, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

An Introduction to Evolutionary Multi-objective Optimization with Some Applications in Pattern Recognition

Carlos A. Coello Coello, C. Coello, 2014, CIARP.

Applications of multi-objective evolutionary algorithms in economics and finance: A survey

Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia, C. Coello, 2007, 2007 IEEE Congress on Evolutionary Computation.

Special issue on evolutionary computation on general purpose graphics processing units

Carlos A. Coello Coello, José Luis Risco-Martín, Juan Lanchares, 2012, Soft Comput..

A comparative study of encodings to design combinational logic circuits using particle swarm optimization

Carlos A. Coello Coello, Arturo Hernández Aguirre, Erika Hernández Luna, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

Evolutionary multiobjetive optimization in non-stationary environments

Carlos A. Coello Coello, Susana Cecilia Esquivel, Victoria S. Aragón, 2005 .

Solving Hard Multiobjective Optimization Problems Using epsilon-Constraint with Cultured Differential Evolution

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2006, PPSN.

Operational decomposition for large scale multi-objective optimization problems

Carlos A. Coello Coello, Josué Figueroa González, Silvia B. González-Brambila, 2019, GECCO.

MOSES: A MULTIOBJECTIVE OPTIMIZATION TOOL FOR ENGINEERING DESIGN

Alan D. Christiansen, Carlos A. Coello Coello, A. Christiansen, 1999 .

Boundary Search for Constrained Numerical Optimization Problems in ACO Algorithms

Carlos A. Coello Coello, Guillermo Leguizamón, 2006, ANTS Workshop.

A Novel Diversity-Based Replacement Strategy for Evolutionary Algorithms

Carlos A. Coello Coello, Eduardo Segredo, Carlos Segura, 2016, IEEE Transactions on Cybernetics.

Indicator-based Multi-objective Evolutionary Algorithms

Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, C. C. Coello, 2020, ACM Comput. Surv..

Reusing Code in Genetic Programming

Riccardo Poli, Carlos A. Coello Coello, Edgar Galván López, 2004, EuroGP.

Using a Gradient Based Method to Seed an EMO Algorithm

Carlos A. Coello Coello, Rafael Caballero, Julián Molina Luque, 2008, MCDM.

Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system

Swagatam Das, Carlos A. Coello Coello, Miguel A. Medina, 2014 .

Resolviendo Optimización Restringida usando un Sistema Inmune Artificial T-Cell

Carlos A. Coello Coello, Susana Cecilia Esquivel, Victoria S. Aragón, 2008 .

Parametric reconfiguration improvement in non-iterative concurrent mechatronic design using an evolutionary-based approach

Carlos A. Coello Coello, Edgar Alfredo Portilla-Flores, Efrén Mezura-Montes, 2011, Eng. Appl. Artif. Intell..

IEEE Transactions on Evolutionary Computation Outstanding 2010 Paper Award (bestowed in 2013)

Carlos A. Coello Coello, Adriana Lara, Gustavo Sánchez, 2013 .

A comparative study of the effect of parameter scalability in multi-objective metaheuristics

Enrique Alba, Francisco Luna, Carlos A. Coello Coello, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Gary B. Lamont, Carlos A. Coello Coello, David A. Van Veldhuizen, 2006 .

Research Directions in Evolutionary Multi-Objective Optimization

Carlos A. Coello Coello, C. Coello, 2012 .

A new proposal for multi-objective optimization using differential evolution and rough sets theory

Carlos A. Coello Coello, Luis V. Santana-Quintero, Rafael Caballero, 2006, GECCO '06.

Computing the Set of Epsilon-Efficient Solutions in Multiobjective Space Mission Design

Massimiliano Vasile, Carlos A. Coello Coello, Oliver Schütze, 2011, J. Aerosp. Comput. Inf. Commun..

A direct local search mechanism for decomposition-based multi-objective evolutionary algorithms

Saúl Zapotecas Martínez, Carlos A. Coello Coello, C. Coello, 2012, 2012 IEEE Congress on Evolutionary Computation.

A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization

Adriana Menchaca-Mendez, Carlos A. Coello Coello, C. Coello, 2009, 2009 IEEE Congress on Evolutionary Computation.

Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2009, 2009 IEEE Congress on Evolutionary Computation.

Culturizing differential evolution for constrained optimization

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2004, Proceedings of the Fifth Mexican International Conference in Computer Science, 2004. ENC 2004..

Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem

Saúl Zapotecas Martínez, Kiyoshi Tanaka, Carlos A. Coello Coello, 2014, PPSN.

An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2008, Applications of Computational Intelligence in Biology.

A novel multi-objective immune algorithm with a decomposition-based clonal selection

Qiuzhen Lin, Carlos A. Coello Coello, Dunwei Gong, 2019, Appl. Soft Comput..

A bi-population PSO with a shake-mechanism for solving constrained numerical optimization

Carlos A. Coello Coello, Leticia C. Cagnina, Susana C. Esquivel, 2007, 2007 IEEE Congress on Evolutionary Computation.

An Alternative ACO \Bbb R _{\Bbb{R}} Algorithm for Continuous Optimization Problems.

Carlos A. Coello Coello, Guillermo Leguizamón, 2010 .

A Study of the Parallelization of a Coevolutionary Multi-objective Evolutionary Algorithm

Carlos A. Coello Coello, Margarita Reyes Sierra, C. Coello, 2004, MICAI.

A multi-objective evolutionary algorithm based on decomposition for constrained multi-objective optimization

Saúl Zapotecas Martínez, Carlos A. Coello Coello, C. Coello, 2014, IEEE Congress on Evolutionary Computation.

Extraction of Design Patterns from Evolutionary Algorithms Using Case-Based Reasoning

Carlos A. Coello Coello, Arturo Hernández Aguirre, E. Islas Pérez, 2001, ICES.

Preference incorporation to solve many-objective airfoil design problems

Carlos A. Coello Coello, Antonio López Jaimes, Alfredo Arias Montaño, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Parallel Approaches for Multiobjective Optimization

Günter Rudolph, Hisao Ishibuchi, Sanaz Mostaghim, 2008, Multiobjective Optimization.

An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem

Carlos A. Coello Coello, Edgar Alfredo Portilla-Flores, Efrén Mezura-Montes, 2008, Advances in Metaheuristics for Hard Optimization.

A Multi-Region Differential Evolution approach for continuous optimization problems

Carlos A. Coello Coello, Guillermo Leguizamón, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

An Alternative ACO \BbbR_{\Bbb{R}} Algorithm for Continuous Optimization Problems

Carlos A. Coello Coello, Guillermo Leguizamón, C. Coello, 2010, ANTS Conference.

An evolutionary approach for resource constrained project scheduling with uncertain changes

Ruhul A. Sarker, Carlos A. Coello Coello, Daryl Essam, 2020, Comput. Oper. Res..

Towards automated evolutionary design of combinational circuits

Alan D. Christiansen, Carlos A. Coello Coello, Arturo Hernández Aguirre, 2000, Comput. Electr. Eng..

PASSSS: an implementation of a novel diversity strategy for handling constraints

Carlos A. Coello Coello, Arturo Hernández Aguirre, Salvador Botello Rionda, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

A Study of Swarm Topologies and Their Influence on the Performance of Multi-Objective Particle Swarm Optimizers

Carlos A. Coello Coello, Diana Cristina Valencia-Rodríguez, 2020, PPSN.

On the Optimal Computaion of Finite Field Exponentiation

Francisco Rodríguez-Henríquez, Carlos A. Coello Coello, Nareli Cruz Cortés, 2004, IBERAMIA.

A SHADE-Based Algorithm for Large Scale Global Optimization

Carlos A. Coello Coello, Oscar Pacheco-Del-Moral, C. Coello, 2020, PPSN.

Divide-and-conquer based non-dominated sorting with Reduced Comparisons

Sriparna Saha, Carlos A. Coello Coello, Sumit Mishra, 2019, Swarm Evol. Comput..

A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor

Carlos A. Coello Coello, Victoria S. Aragón, Susana C. Esquivel, 2007, MICAI.

Generation of New Scalarizing Functions Using Genetic Programming

Carlos A. Coello Coello, Amín V. Bernabé Rodríguez, C. Coello, 2020, PPSN.

Swarm Intelligence for Multi-objective Problems in Data Mining

Carlos A. Coello Coello, Satchidananda Dehuri, Susmita Ghosh, 2009 .

A divide-and-conquer based efficient non-dominated sorting approach

Carlos A. Coello Coello, Sriparna Saha, Sumit Mishra, 2019, Swarm Evol. Comput..

Solving constrained multi-objective problems by objective space analysis

Carlos A. Coello Coello, Gideon Avigad, 2008, GECCO '08.

CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-objective Algorithm

Michael T. M. Emmerich, Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, 2019, EMO.

Cooperative Co-Evolutionary Genetic Programming for High Dimensional Problems

Hugo Jair Escalante, Carlos A. Coello Coello, Alicia Morales-Reyes, 2020, PPSN.

Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods

Carlos A. Coello Coello, Daryl Essam, Ali Ahrari, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Constrained Optimization via Multiobjective Evolutionary Algorithms

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2008, Multiobjective Problem Solving from Nature.

The directed search method for multi-objective memetic algorithms

Carlos A. Coello Coello, Oliver Schütze, Sergio Alvarado, 2015, Computational Optimization and Applications.

Limiting the Velocity in the Particle Swarm Optimization Algorithm

Carlos A. Coello Coello, Juan J. Flores, Julio Barrera, 2016, Computación y Sistemas.

A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem

Carlos A. Coello Coello, Eduardo Rodriguez-Tello, Luis E. Ramirez-Chavez, 2012 .

A Multi-Objective Evolutionary approach for linear antenna array design and synthesis

Saúl Zapotecas Martínez, Carlos A. Coello Coello, Subhrajit Roy, 2012, 2012 IEEE Congress on Evolutionary Computation.

Testing the Permutation Space Based Geometric Differential Evolution on the Job-Shop Scheduling Problem

Antonin Ponsich, Carlos A. Coello Coello, C. Coello, 2010, PPSN.

Consolidated optimization algorithm for resource-constrained project scheduling problems

Tapabrata Ray, Carlos A. Coello Coello, Saber M. Elsayed, 2017, Inf. Sci..

Multi-Objective Ant Colony Optimization: A Taxonomy and Review of Approaches

Carlos A. Coello Coello, Guillermo Leguizamón, C. Coello, 2011, Integration of Swarm Intelligence and Artificial Neural Network.

Springer Handbook of Computational Intelligence

Thomas Bartz-Beielstein, Carlos A. Coello Coello, Günther R. Raidl, 2015, Springer Handbook of Computational Intelligence.

Combining surrogate models and local search for dealing with expensive multi-objective optimization problems

Saúl Zapotecas Martínez, Carlos A. Coello Coello, 2013, 2013 IEEE Congress on Evolutionary Computation.

MICAI 2002: Advances in Artificial Intelligence

Carlos A. Coello Coello, Luis Enrique Sucar, Alvaro de Albornoz, 2002, Lecture Notes in Computer Science.

Current and Future Research Trends in Evolutionary Multiobjective Optimization

Carlos A. Coello Coello, G. Toscano Pulido, E. Mezura Montes, 2005 .

A novel multi-objective evolutionary algorithm with dynamic decomposition strategy

Ka-Chun Wong, Qiuzhen Lin, Carlos A. Coello Coello, 2019, Swarm Evol. Comput..

Asymptotic convergence of a simulated annealing algorithm for multiobjective optimization problems

Carlos A. Coello Coello, Onésimo Hernández-Lerma, Mario Villalobos-Arias, 2006, Math. Methods Oper. Res..

Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection

Ka-Chun Wong, Qiuzhen Lin, Carlos A. Coello Coello, 2021 .

Design of combinational logic circuits through an evolutionary multiobjective optimization approach

Carlos A. Coello Coello, Arturo Hernández Aguirre, 2002, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

A hybridization of MOEA/D with the nonlinear simplex search algorithm

Saúl Zapotecas Martínez, Carlos A. Coello Coello, C. Coello, 2013, 2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM).

An updated survey of GA-based multiobjective optimization techniques

Carlos A. Coello Coello, C. Coello, 2000, CSUR.

Job Shop Scheduling using the Clonal Selection Principle

Carlos A. Coello Coello, Nareli Cruz Cortés, Daniel Cortés Rivera, 2004 .

Alternative techniques to solve hard multi-objective optimization problems

Carlos A. Coello Coello, Ricardo Landa Becerra, Rafael Caballero, 2007, GECCO '07.

A Multiobjective Teaching-Learning Algorithm for Power Losses Reduction in Power Systems

Carlos A. Coello Coello, Juan M. Ramirez, Miguel A. Medina, 2018 .

Evolutionary approach for large-Scale mine scheduling

Ruhul A. Sarker, Carlos A. Coello Coello, Daryl Essam, 2020, Inf. Sci..

Two new GA-based methods for multiobjective optimization

Alan D. Christiansen, Carlos A. Coello Coello, A. Christiansen, 1998 .

Using genetic algorithms for optimal design of trusses

Alan D. Christiansen, Carlos A. Coello Coello, Michael Rudnick, 1994, Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94.

Evolutionary Multi-Objective Optimization: A Critical Review

Carlos A. Coello Coello, C. Coello, 2003 .

Use of Radial Basis Functions and Rough Sets for Evolutionary Multi-Objective Optimization

Carlos A. Coello Coello, Luis V. Santana-Quintero, Julián Molina Luque, 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

History and Philosophy of Evolutionary Computation

Gara Miranda, Carlos A. Coello Coello, Carlos Segura, 2016 .

Some comments on GD and IGD and relations to the Hausdorff distance

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2010, GECCO '10.

Evolutionary Multi-Criterion Optimization, Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings

Eckart Zitzler, Carlos A. Coello Coello, Arturo Hernández Aguirre, 2005, EMO.

GIAA TECHNINAL REPORT GIAA2010E001 On Current Model-Building Methods for Multi-Objective Estimation of Distribution Algorithms: Shortcommings and Directions for Improvement

Carlos A. Coello Coello, C. Coello, 2010 .

Convergence and diversity analysis of indicator-based multi-objective evolutionary algorithms

Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, 2019, GECCO.

Particle Swarm Optimization Based on Linear Assignment Problem Transformations

Carlos A. Coello Coello, Luis Miguel Antonio, 2015, GECCO.

Multi-objective airfoil shape optimization using a multiple-surrogate approach

Carlos A. Coello Coello, Efrén Mezura-Montes, Alfredo Arias Montaño, 2012, 2012 IEEE Congress on Evolutionary Computation.

A constraint-handling mechanism for particle swarm optimization

Carlos A. Coello Coello, Gregorio Toscano Pulido, C. Coello, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

MOEA Theory and Issues

Gary B. Lamont, Carlos A. Coello Coello, David A. Van Veldhuizen, 2002 .

Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence

Carlos A. Coello Coello, Luis Enrique Sucar, Osvaldo Cairó Battistutti, 2002 .

An Improved Diversity Mechanism for Solving Constrained Optimization Problems Using a Multimembered Evolution Strategy

Carlos A. Coello Coello, Efrén Mezura-Montes, 2004, GECCO.

Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer

Carlos A. Coello Coello, Leticia C. Cagnina, Susana C. Esquivel, 2008, Informatica.

Finding short and implementation-friendly addition chains with evolutionary algorithms

Carlos A. Coello Coello, Nele Mentens, Domagoj Jakobovic, 2018, J. Heuristics.

On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2013, EVOLVE.

Engineering optimization using simple evolutionary algorithm

Carlos A. Coello Coello, Ricardo Landa Becerra, Efrén Mezura-Montes, 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.

A hybrid surrogate-based approach for evolutionary multi-objective optimization

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2013, 2013 IEEE Congress on Evolutionary Computation.

Comparing different serial and parallel heuristics to design combinational logic circuits

Enrique Alba, Carlos A. Coello Coello, Arturo Hernández Aguirre, 2003, NASA/DoD Conference on Evolvable Hardware, 2003. Proceedings..

Multi-method based algorithm for multi-objective problems under uncertainty

Ruhul A. Sarker, Carlos A. Coello Coello, Daryl Essam, 2019, Inf. Sci..

Use of Reference Point Sets in a Decomposition-Based Multi-Objective Evolutionary Algorithm

Carlos A. Coello Coello, Edgar Manoatl Lopez, 2018, PPSN.

Optimization on complex systems

Carlos A. Coello Coello, Mario Pavone, 2012, Memetic Comput..

Cultural algorithms, an alternative heuristic to solve the job shop scheduling problem

Carlos A. Coello Coello, Ricardo Landa Becerra, Daniel Cortés Rivera, 2007 .

A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model

Saúl Zapotecas Martínez, Carlos A. Coello Coello, 2010, PPSN.

A Study of Convergence Speed in Multi-objective Metaheuristics

Enrique Alba, Francisco Luna, Carlos A. Coello Coello, 2008, PPSN.

Evolutionary Many-Objective Optimization Based on Kuhn-Munkres' Algorithm

Carlos A. Coello Coello, José A. Molinet Berenguer, C. Coello, 2015, EMO.

iMOACO _\mathbb R : A New Indicator-Based Multi-objective Ant Colony Optimization Algorithm for Continuous Search Spaces

Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, C. C. Coello, 2016, PPSN.

On the Usefulness of the Evolution Strategies' Self-Adaptation Mechanism to Handle Constraints in Global Optimization

Carlos A. Coello Coello, 2003 .

Study of preference relations in many-objective optimization

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2009, GECCO.

An evolutionary algorithm coupled with the Hooke-Jeeves algorithm for tuning a chess evaluation function

Feliu Sagols, Carlos A. Coello Coello, Eduardo Vázquez-Fernández, 2012, 2012 IEEE Congress on Evolutionary Computation.

GDE-MOEA: A new MOEA based on the generational distance indicator and ε-dominance

Adriana Menchaca-Mendez, Carlos A. Coello Coello, C. Coello, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP pdf

Carlos A. Coello Coello, El-Ghazali Talbi, Oliver Schütze, 2008, ArXiv.

A genetic programming approach to logic function synthesis by means of multiplexers

Carlos A. Coello Coello, Arturo Hernández Aguirre, Bill P. Buckles, 1999, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware.

An Alternative Preference Relation to Deal with Many-Objective Optimization Problems

Akira Oyama, Carlos A. Coello Coello, Antonio López Jaimes, 2013, EMO.

Swarm intelligence guided by multi-objective mathematical programming techniques

Saúl Zapotecas Martínez, Carlos A. Coello Coello, C. Coello, 2011, GECCO.

Evolutionary Multi-Objective Optimization: Basic Concepts and Some Applications in Pattern Recognition

Carlos A. Coello Coello, C. Coello, 2011, MCPR.

Using Genetic Algorithms for Optimal Design of Axially Loaded Non-Prismatic Columns

Alan D. Christiansen, Carlos A. Coello Coello, C. C. Coello, 1995, ICANNGA.

An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems

Carlos A. Coello Coello, Victoria S. Aragón, Mario Guillermo Leguizamón, 2019 .

DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems

Carlos A. Coello Coello, Luis V. Santana-Quintero, Rafael Caballero, 2010, Comput. Oper. Res..

Fitness Landscape and Evolutionary Boolean Synthesis using Information

Carlos A. Coello Coello, Arturo Hernández Aguirre, 2003, Evolvable Hardware.

Identifying on-line behavior and some sources of difficulty in two competitive approaches for constrained optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, 2005, 2005 IEEE Congress on Evolutionary Computation.

Computing approximate solutions of scalar optimization problems and applications in space mission design

Massimiliano Vasile, Carlos A. Coello Coello, Oliver Schütze, 2010, IEEE Congress on Evolutionary Computation.

A genetic algorithm for the optimal design of axially loaded non-prismatic columns

Alan D. Christiansen, Carlos A. Coello Coello, F. Alonso Farrera, 1996 .

A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems

Yilong Yin, Jun Zhang, Chih-Min Lin, 2016, IEEE Transactions on Evolutionary Computation.

MRMOGA: a new parallel multi‐objective evolutionary algorithm based on the use of multiple resolutions

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2007, Concurr. Comput. Pract. Exp..

A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $\epsilon$ -Dominance

Carlos A. Coello Coello, Luis Miguel Antonio, Saúl Zapotecas-Martínez, 2019, IEEE Access.

Recent advances in immunological inspired computation

Doheon Lee, Vincenzo Cutello, Carlos A. Coello Coello, 2017, Eng. Appl. Artif. Intell..

Evolutionary-based tailoring of synthetic instances for the Knapsack problem

Carlos A. Coello Coello, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, 2019, Soft Comput..

A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme

Carlos A. Coello Coello, Gregorio Toscano Pulido, Jorge Sebastian Hernández-Domínguez, 2011, Artificial Evolution.

A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications

Antonin Ponsich, Carlos A. Coello Coello, Antonio López Jaimes, 2013, IEEE Transactions on Evolutionary Computation.

Smiling at Evolution

Carlos A. Coello Coello, D. A. Bloch, C. Coello, 2010, Appl. Soft Comput..

Using the Min-Max Method to Solve Multiobjective Optimization Problems with Genetic Algorithms

Carlos A. Coello Coello, C. Coello, 1998, IBERAMIA.

Accelerating convergence using rough sets theory for multi-objective optimization problems

Carlos A. Coello Coello, Luis V. Santana-Quintero, 2008, GECCO '08.

Using multi-objective evolutionary algorithms for single-objective optimization

Gara Miranda, Carlos A. Coello Coello, Carlos Segura, 2013, 4OR.

An analysis of the automatic adaptation of the crossover rate in differential evolution

Carlos A. Coello Coello, Eduardo Segredo, Carlos Segura, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Handling uncertainty in code smells detection using a possibilistic SBSE approach

Carlos A. Coello Coello, Lamjed Ben Said, Chih-Cheng Hung, 2020, GECCO Companion.

MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2005, 2005 IEEE Congress on Evolutionary Computation.

CIS Publication Spotlight [Publication Spotlight]

Julian Togelius, Hussein A. Abbass, Carlos A. Coello Coello, 2021, IEEE Computational Intelligence Magazine.

Guest Editorial Special Issue on Differential Evolution

Ponnuthurai N. Suganthan, Swagatam Das, Carlos A. Coello Coello, 2011, IEEE Transactions on Evolutionary Computation.

SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets

Maoguo Gong, Qiuzhen Lin, Carlos A. Coello Coello, 2022, IEEE Transactions on Emerging Topics in Computational Intelligence.

An Approach for Non-domination Level Update Problem in Steady-State Evolutionary Algorithms With Parallelism

Carlos A. Coello Coello, Sumit Mishra, C. Coello, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

hypDE: A Hyper-Heuristic Based on Differential Evolution for Solving Constrained Optimization Problems

Carlos A. Coello Coello, José Carlos Villela Tinoco, C. Coello, 2012, EVOLVE.

Solving Constrained Optimization using a T-Cell Artificial Immune System

Carlos A. Coello Coello, Victoria S. Aragón, Susana C. Esquivel, 2008, Inteligencia Artif..

Two New Approaches to Multiobjective Optimisation Using Genetic Algorithms

Carlos A. Coello Coello, C. Coello, 1998 .

Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms

Marco Laumanns, Carlos A. Coello Coello, El-Ghazali Talbi, 2010, Evolutionary Computation.

THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART

Carlos A. Coello Coello, C. Coello, 2002 .

Increasing selective pressure towards the best compromise in evolutionary multiobjective optimization: The extended NOSGA method

Eduardo Fernández, Carlos A. Coello Coello, Fernando López Irarragorri, 2011, Inf. Sci..

Multi-objective compact differential evolution

Carlos A. Coello Coello, Alfredo Arias-Montano, Jesus Moises Osorio Velazquez, 2014, 2014 IEEE Symposium on Differential Evolution (SDE).

Parallelism in divide-and-conquer non-dominated sorting: a theoretical study considering the PRAM-CREW model

Carlos A. Coello Coello, Sumit Mishra, C. Coello, 2019, Journal of Heuristics.

A boundary search based ACO algorithm coupled with stochastic ranking

Carlos A. Coello Coello, Guillermo Leguizamón, C. Coello, 2007, 2007 IEEE Congress on Evolutionary Computation.

Introduccion a los algoritmos geneticos

Carlos A. Coello Coello, Carlos A. Coello Coello, 1995 .

MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms

Jesús García, José M. Molina López, Carlos A. Coello Coello, 2011, Oper. Res. Lett..

Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation

Jianqiang Li, Qiuzhen Lin, Carlos A. Coello Coello, 2018, Complex..

A GPU-Based Algorithm for a Faster Hypervolume Contribution Computation

Carlos A. Coello Coello, Luis Miguel Antonio, Edgar Manoatl Lopez, 2015, EMO.

A Proposal of a Multi-Objective Compact Particle Swarm Optimizer

Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia, Jorge Jiménez Montiel, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

A comparative study of variation operators used for evolutionary multi-objective optimization

Carlos A. Coello Coello, Pedro M. Mateo, Isolina Alberto, 2014, Inf. Sci..

Evolutionary many-objective optimization based on linear assignment problem transformations

Carlos A. Coello Coello, Luis Miguel Antonio, José A. Molinet Berenguer, 2018, Soft Comput..

A Short Tutorial on Evolutionary Multiobjective Optimization

Carlos A. Coello Coello, C. Coello, 2001, EMO.

Parallel Best Order Sort for Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model

Carlos A. Coello Coello, Sumit Mishra, C. Coello, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

MICAI 2002 : advances in artificial intelligence : Second Mexican International Conference on Artificial Intelligence, Mérida, Yucatán, Mexico, April 22-26, 2002 : proceedings

Osvaldo Cairó, Carlos A. Coello Coello, L. Enrique Sucar, 2002 .

Artificial Immune System for Solving Constrained Optimization Problems

Carlos A. Coello Coello, Victoria S. Aragón, Susana C. Esquivel, 2006, Inteligencia Artif..

A Multi-objective Particle Swarm Optimizer Hybridized with Scatter Search

Carlos A. Coello Coello, Luis V. Santana-Quintero, Noel Ramírez-Santiago, 2006, MICAI.

An immune artificial algorithm for dynamic optimization problems: a case of study

Carlos A. Coello Coello, Susana Cecilia Esquivel, Victoria S. Aragón, 2009 .

Surrogate-based Multi-Objective Particle Swarm Optimization

Carlos A. Coello Coello, Luis V. Santana-Quintero, Alfredo García Hernández-Díaz, 2008, 2008 IEEE Swarm Intelligence Symposium.

EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency

Carlos A. Coello Coello, Luis V. Santana-Quintero, Gregorio Toscano Pulido, 2007, EMO.

Artificial Immune System for Solving Dynamic Constrained Optimization Problems

Carlos A. Coello Coello, Victoria S. Aragón, Susana C. Esquivel, 2013, Metaheuristics for Dynamic Optimization.

Use of Particle Swarm Optimization to Design Combinational Logic Circuits

Carlos A. Coello Coello, Arturo Hernández Aguirre, Erika Hernández Luna, 2003, ICES.

Optimization with constraints using a cultured differential evolution approach

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2005, GECCO '05.

Hybridizing a genetic algorithm with an artificial immune system for global optimization

Carlos A. Coello Coello, Nareli Cruz Cortés, C. Coello, 2004 .

MOMBI: A new metaheuristic for many-objective optimization based on the R2 indicator

Carlos A. Coello Coello, Raquel Hernández Gómez, C. Coello, 2013, 2013 IEEE Congress on Evolutionary Computation.

A Multi-Objective Artificial Immune System Based on Hypervolume

Carlos A. Coello Coello, Thomas Pierrard, C. Coello, 2012, ICARIS.

A hybrid Memory-based ACO algorithm for the QAP

Carlos A. Coello Coello, Guillermo Leguizamón, Franco Arito, 2010, IEEE Congress on Evolutionary Computation.

Multiobjective Optimization Using Ideas from the Clonal Selection Principle

Carlos A. Coello Coello, Nareli Cruz Cortés, C. Coello, 2003, GECCO.

USING A PARTICLE SWARM OPTIMIZER WITH A MULTI-OBJECTIVE SELECTION SCHEME TO DESIGN COMBINATIONAL LOGIC CIRCUITS

Carlos A. Coello Coello, Erika Hernández Luna, 2004 .

Applying exponential weighting moving average control parameter adaptation technique with generalized differential evolution

Carlos A. Coello Coello, Saku Kukkonen, C. Coello, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Objective Space Partitioning Using Conflict Information for Many-Objective Optimization

Kiyoshi Tanaka, Carlos A. Coello Coello, Antonio López Jaimes, 2010, PPSN.

Multi-objective Optimization Using Differential Evolution: A Survey of the State-of-the-Art

Carlos A. Coello Coello, Efrén Mezura-Montes, Margarita Reyes-Sierra, 2008 .

Automated Design of Combinational Logic Circuits by Genetic Algorithms

Alan D. Christiansen, Carlos A. Coello Coello, A. H. Aguirre, 1997, ICANNGA.

Boundary Search for Constrained Numerical Optimization Problems With an Algorithm Inspired by the Ant Colony Metaphor

Carlos A. Coello Coello, Guillermo Leguizamón, C. Coello, 2009, IEEE Transactions on Evolutionary Computation.

Microgenetic multiobjective reconfiguration algorithm considering power losses and reliability indices for medium voltage distribution network

Carlos A. Coello Coello, Jorge E. Mendoza, M. E. Lopez, 2009 .

A modified version of a T‐Cell Algorithm for constrained optimization problems

Carlos A. Coello Coello, Susana Cecilia Esquivel, Victoria S. Aragón, 2010 .

Artificial Immune System for Solving Global Optimization Problems

Carlos A. Coello Coello, Victoria S. Aragón, Susana C. Esquivel, 2010, Inteligencia Artif..

Mutual information-based fitness functions for evolutionary circuit synthesis

Carlos A. Coello Coello, Arturo Hernández Aguirre, A. H. Aguirre, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Computing and Selecting-E ffi cient Solutions of { 0 , 1 }-Knapsack Problems

José Rui Figueira, Carlos A. Coello Coello, El-Ghazali Talbi, 2007 .

A Study of Techniques to Improve the Efficiency of a Multi-Objective Particle Swarm Optimizer

Carlos A. Coello Coello, Margarita Reyes Sierra, 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, Alfredo Arias Montaño, 2011, Computational Optimization, Methods and Algorithms.

Asymptotic Convergence of Some Metaheuristics Used for Multiobjective Optimization

Carlos A. Coello Coello, Onésimo Hernández-Lerma, Mario Villalobos-Arias, 2005, FOGA.

Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms

Carlos A. Coello Coello, El-Ghazali Talbi, Oliver Schütze, 2007, MICAI.

Solving Multiobjective Optimization Problems Using an Artificial Immune System

Carlos A. Coello Coello, Nareli Cruz Cortés, C. Coello, 2005, Genetic Programming and Evolvable Machines.

A hybrid Differential Evolution - Tabu Search algorithm for the solution of Job-Shop Scheduling Problems

Antonin Ponsich, Carlos A. Coello Coello, C. Coello, 2013, Appl. Soft Comput..

Studying the Effect of Robustness Measures in Offline Parameter Tuning for Estimating the Performance of MOEA/D

Carlos A. Coello Coello, Denis Pallez, Miriam Pescador-Rojas, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Δp-MOEA: A new multi-objective evolutionary algorithm based on the Δp indicator

Adriana Menchaca-Mendez, Carlos A. Coello Coello, Carlos Ignacio Hernandez Castellanos, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Generalized Differential Evolution for Numerical and Evolutionary Optimization

Carlos A. Coello Coello, Saku Kukkonen, C. Coello, 2015, NEO.

Constrained multi-objective aerodynamic shape optimization via swarm intelligence

Saúl Zapotecas Martínez, Carlos A. Coello Coello, Alfredo Arias Montaño, 2014, GECCO.

On the use of a population-based particle swarm optimizer to design combinational logic circuits

Carlos A. Coello Coello, Arturo Hernández Aguirre, Erika Hernández Luna, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

Self-adaptive penalties for GA-based optimization

Carlos A. Coello Coello, C. Coello, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Riesz s-energy-based Reference Sets for Multi-Objective optimization

Hisao Ishibuchi, Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2002, Adv. Eng. Informatics.

A Study of the Combination of Variation Operators in the NSGA-II Algorithm

Bernabé Dorronsoro, Carlos A. Coello Coello, Antonio J. Nebro, 2013, CAEPIA.

g-dominance: Reference point based dominance for multiobjective metaheuristics

Carlos A. Coello Coello, Luis V. Santana-Quintero, Rafael Caballero, 2009, Eur. J. Oper. Res..

On the benefit of ∈-efficient solutions in multi objective space mission design

Massimiliano Vasile, Carlos A. Coello Coello, Oliver Schuetze, 2008 .

Using gradient information for multi-objective problems in the evolutionary context

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2010, GECCO '10.

Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems

Carlos A. Coello Coello, Susana Cecilia Esquivel, Victoria S. Aragón, 2011 .

Towards a More General Many-objective Evolutionary Optimizer

Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, 2018, PPSN.

Use of cooperative coevolution for solving large scale multiobjective optimization problems

Carlos A. Coello Coello, Luis Miguel Antonio, C. Coello, 2013, 2013 IEEE Congress on Evolutionary Computation.

Coevolutionary Operations for Large Scale Multi-objective Optimization

Carlos A. Coello Coello, Josué Figueroa González, Silvia B. González-Brambila, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary Algorithms: Basic Concepts and Applications in Biometrics

Carlos A. Coello Coello, C. C. Coello, 2007, Image Pattern Recognition.

Handling uncertainty through confidence intervals in portfolio optimization

Eduardo Fernández, Carlos A. Coello Coello, Jorge Navarro, 2019, Swarm Evol. Comput..

Constraint-handling techniques used with evolutionary algorithms

Carlos A. Coello Coello, C. Coello, 2019, GECCO.

Extraction and reuse of design patterns from genetic algorithms using case-based reasoning

Carlos A. Coello Coello, Arturo Hernández Aguirre, E. Islas Pérez, 2005, Soft Comput..

Improving hyper-heuristic performance through feature transformation

Carlos A. Coello Coello, Hugo Terashima-Marín, Iván Amaya, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Advances in Multi-Objective Nature Inspired Computing

Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan, 2010, Advances in Multi-Objective Nature Inspired Computing.

Incorporation of implicit decision-maker preferences in multi-objective evolutionary optimization using a multi-criteria classification method

Eduardo Fernández, Carlos A. Coello Coello, Claudia Gómez Santillán, 2017, Appl. Soft Comput..

Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions

Ponnuthurai N. Suganthan, Swagatam Das, Carlos A. Coello Coello, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods

Eduardo Fernández, Carlos A. Coello Coello, Claudia Gómez Santillán, 2020, Swarm Evol. Comput..

Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering

Carlos A. Coello Coello, Efrén Mezura-Montes, Alfredo Arias Montaño, 2012, IEEE Transactions on Evolutionary Computation.

Evolutionary multiobjective optimization using a cultural algorithm

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

pMODE-LD+SS: An Effective and Efficient Parallel Differential Evolution Algorithm for Multi-Objective Optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, Alfredo Arias Montaño, 2010, PPSN.

A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates

Enrique Alba, Carlos A. Coello Coello, Raquel Hernández Gómez, 2016, GECCO.

A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems

Carlos A. Coello Coello, Ricardo Landa Becerra, María Cristina Riff, 2007, IFSA.

A Particle Swarm Optimization Method for Multimodal Optimization Based on Electrostatic Interaction

Carlos A. Coello Coello, Julio Barrera, C. Coello, 2009, MICAI.

Goal-constraint: Incorporating preferences through an evolutionary ε-constraint based method

Carlos A. Coello Coello, Ricardo Landa Becerra, Gregorio Toscano Pulido, 2013, 2013 IEEE Congress on Evolutionary Computation.

Convergence of stochastic search algorithms to finite size pareto set approximations

Marco Laumanns, Carlos A. Coello Coello, El-Ghazali Talbi, 2008, J. Glob. Optim..

Convergence of stochastic search algorithms to gap-free pareto front approximations

Marco Laumanns, Carlos A. Coello Coello, El-Ghazali Talbi, 2007, GECCO '07.

Decomposition-Based Approach for Solving Large Scale Multi-objective Problems

Carlos A. Coello Coello, Luis Miguel Antonio, C. Coello, 2016, PPSN.

Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization

Saúl Zapotecas Martínez, Carlos A. Coello Coello, 2008, GECCO '08.

A multi-objective evolutionary hyper-heuristic based on multiple indicator-based density estimators

Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, C. C. Coello, 2018, GECCO.

An ant system with steps counter for the job shop scheduling problem

Carlos A. Coello Coello, Efrén Mezura-Montes, Emanuel Tellez-Emiquez, 2007, 2007 IEEE Congress on Evolutionary Computation.

Improving the diversity preservation of multi-objective approaches used for single-objective optimization

Gara Miranda, Carlos A. Coello Coello, Eduardo Segredo, 2013, 2013 IEEE Congress on Evolutionary Computation.

Optimal design of reinforced concrete beams using genetic algorithms

Carlos A. Coello Coello, Filiberto Santos Hernández, Francisco Alonso Farrera, 1997 .

On the construction of pareto-compliant quality indicators

Michael T. M. Emmerich, Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, 2019, GECCO.

Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2013, IbPRIA.

Seeding the initial population of a multi-objective evolutionary algorithm using gradient-based information

Carlos A. Coello Coello, Luis V. Santana-Quintero, Rafael Caballero, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Guest editorial: Special issue—revised selected papers of the LION 5 conference

Carlos A. Coello Coello, 2013, Annals of Mathematics and Artificial Intelligence.

Objective space partitioning using conflict information for solving many-objective problems

Kiyoshi Tanaka, Carlos A. Coello Coello, Antonio López Jaimes, 2014, Inf. Sci..

An Artificial Immune System Heuristic for Generating Short Addition Chains

Francisco Rodríguez-Henríquez, Carlos A. Coello Coello, Nareli Cruz Cortés, 2008, IEEE Transactions on Evolutionary Computation.

Handling Constraints in Global Optimization Using an Artificial Immune System

Carlos A. Coello Coello, Nareli Cruz Cortés, Daniel Trejo-Pérez, 2005, ICARIS.

A proposal to use stripes to maintain diversity in a multi-objective particle swarm optimizer

Carlos A. Coello Coello, Gregorio Toscano Pulido, Mario Villalobos-Arias, 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

Multiobjective-based concepts to handle constraints in evolutionary algorithms

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2003, Proceedings of the Fourth Mexican International Conference on Computer Science, 2003. ENC 2003..

Pareto-adaptive -dominance

Carlos A. Coello Coello, Luis V. Santana-Quintero, Julián Molina Luque, 2007, Evolutionary Computation.

A Review of Techniques for Handling Expensive Functions in Evolutionary Multi-Objective Optimization

Carlos A. Coello Coello, Luis V. Santana-Quintero, Alfredo Arias Montano, 2010 .

Constraint-handling in nature-inspired numerical optimization: Past, present and future

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2011, Swarm Evol. Comput..

An Introduction to Evolutionary Algorithms and Their Applications

Carlos A. Coello Coello, C. Coello, 2005, ISSADS.

Approximating the Knee of an MOP with Stochastic Search Algorithms

Marco Laumanns, Carlos A. Coello Coello, Oliver Schütze, 2008, PPSN.

Multiobjective Optimization for Space Mission Design Problems

Carlos A. Coello Coello, Oliver Schütze, Alfredo Arias Montano, 2015 .

MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines

Francisco Herrera, Carlos A. Coello Coello, Hugo Terashima-Marín, 2018, IEEE Computational Intelligence Magazine.

On the Use of Projected Gradients for Constrained Multiobjective Optimization Problems

Carlos A. Coello Coello, Luis V. Santana-Quintero, Rafael Caballero, 2008, PPSN.

Recent Results and Open Problems in Evolutionary Multiobjective Optimization

Carlos A. Coello Coello, C. Coello, 2017, TPNC.

Comparative study of serial and parallel heuristics used to design combinational logic circuits

Enrique Alba, Carlos A. Coello Coello, Gabriel Luque, 2007, Optim. Methods Softw..

Improved Metaheuristic Based on the R2 Indicator for Many-Objective Optimization

Carlos A. Coello Coello, Raquel Hernández Gómez, C. Coello, 2015, GECCO.

An evolutionary algorithm with a history mechanism for tuning a chess evaluation function

Feliu Sagols, Carlos A. Coello Coello, Eduardo Vázquez-Fernández, 2013, Appl. Soft Comput..

Enhancing Selection Hyper-Heuristics via Feature Transformations

Carlos A. Coello Coello, Hugo Terashima-Marín, Iván Amaya, 2018, IEEE Computational Intelligence Magazine.

MOPSOhv: A new hypervolume-based multi-objective particle swarm optimizer

Carlos A. Coello Coello, Alfredo Arias-Montano, Ivan Chaman Garcia, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

A Review of Applications of Evolutionary Algorithms in Pattern Recognition

Carlos A. Coello Coello, Luis Gerardo de la Fraga, C. Coello, 2011 .

Indicator-based cooperative coevolution for multi-objective optimization

Carlos A. Coello Coello, Luis Miguel Antonio, C. Coello, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Approximate Solutions in Space Mission Design

Massimiliano Vasile, Carlos A. Coello Coello, Oliver Schütze, 2008, PPSN.

The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization

Carlos A. Coello Coello, Gregorio Toscano Pulido, C. Coello, 2003, EMO.

Evolutionary multi-objective optimization: a historical view of the field

Carlos A. Coello Coello, C. Coello, 2006, IEEE Comput. Intell. Mag..

Many-Objective Problems: Challenges and Methods

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2015, Handbook of Computational Intelligence.

Foreword: Some advances in Immune Computation and applications

Licheng Jiao, Carlos A. Coello Coello, Wenjian Luo, 2019, Swarm Evol. Comput..

Constraint-handling techniques used with evolutionary algorithms

Carlos A. Coello Coello, 2011, GECCO '11.

A ranking method based on the R2 indicator for many-objective optimization

Carlos A. Coello Coello, Ricardo Landa Becerra, Gregorio Toscano Pulido, 2013, 2013 IEEE Congress on Evolutionary Computation.

Simple Feasibility Rules and Differential Evolution for Constrained Optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, Edy I. Tun-Morales, 2004, MICAI.

Artificial Evolution: 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, Revised Selected Papers

Carlos A. Coello Coello, Jorge Sebastian Hernández-Domínguez, Gregorio Toscano-Pulido, 2018 .

An immune algorithm with power redistribution for solving economic dispatch problems

Carlos A. Coello Coello, Victoria S. Aragón, Susana C. Esquivel, 2015, Inf. Sci..

Finding Optimal Addition Chains Using a Genetic Algorithm Approach

Francisco Rodríguez-Henríquez, Carlos A. Coello Coello, Nareli Cruz Cortés, 2005, CIS.

Accelerating convergence towards the optimal pareto front

Carlos A. Coello Coello, Jafar Rezaei, Mohsen Davarynejad, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI, EVOLVE 2015, Iasi, Romania, 18-24 June 2015

Pascal Bouvry, Carlos A. Coello Coello, Pierre Del Moral, 2012, EVOLVE.

A simple multimembered evolution strategy to solve constrained optimization problems

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2005, IEEE Transactions on Evolutionary Computation.

Using evolutionary computation to infer the decision maker's preference model in presence of imperfect knowledge: A case study in portfolio optimization

Carlos A. Coello Coello, Efrain Solares, Eduardo Fernández-Gonzáles, 2020, Swarm Evol. Comput..

Modified Differential Evolution for Constrained Optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, Jesús Velázquez-Reyes, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Conference Report for 2013 IEEE Congress on Evolutionary Computation (IEEE CEC 2013) [Conference Reports]

Carlos A. Coello Coello, 2013, IEEE Comput. Intell. Mag..

Enhanced multi-operator differential evolution for constrained optimization

Ruhul A. Sarker, Carlos A. Coello Coello, Saber M. Elsayed, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A multi-objective meta-model assisted memetic algorithm with non gradient-based local search

Saúl Zapotecas Martínez, Carlos A. Coello Coello, 2010, GECCO '10.

Proceedings of the 5th international conference on Learning and Intelligent Optimization

Carlos A. Coello Coello, 2011 .

Evolutionary Algorithms and Multiple Objective Optimization

Carlos A. Coello Coello, Carlos E. Mariano Romero, C. Coello, 2003 .

Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problems

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

IS-PAES: Multiobjective Optimization with Efficient Constraint Handling

Carlos A. Coello Coello, Salvador Botello Rionda, Arturo Hernáandez Aguirre, 2004 .

HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms

Carlos A. Coello Coello, Oliver Schütze, Gustavo Sanchez, 2010, IEEE Transactions on Evolutionary Computation.

An updated survey of evolutionary multiobjective optimization techniques: state of the art and future trends

Carlos A. Coello Coello, C. Coello, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Adaptive Control of the Number of Crossed Genes in Many-Objective Evolutionary Optimization

Kiyoshi Tanaka, Hiroyuki Sato, Carlos A. Coello Coello, 2012, LION.

A fast particle swarm algorithm for solving smooth and non-smooth economic dispatch problems

Carlos A. Coello Coello, Susana Cecilia Esquivel, Leticia Cagnina, 2011 .

An evolutionary algorithm for tuning a chess evaluation function

Feliu Sagols, Carlos A. Coello Coello, Eduardo Vázquez-Fernández, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation

Javier Del Ser, José Francisco Aldana Montes, Carlos A. Coello Coello, 2018, PPSN.

Multiobjective optimization of trusses using genetic algorithms

Alan D. Christiansen, Carlos A. Coello Coello, A. Christiansen, 2000 .

An Introduction to Multi-Objective Particle Swarm Optimizers

Carlos A. Coello Coello, C. Coello, 2011 .

A Cultural Algorithm for Constrained Optimization

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2002, MICAI.

Online Objective Reduction to Deal with Many-Objective Problems

Carlos A. Coello Coello, Antonio López Jaimes, Jesús E. Urías Barrientos, 2009, EMO.

Design of a motorcycle frame using neuroacceleration strategies in MOEAs

Carlos A. Coello Coello, Andrés L. Medaglia, Jorge E. Rodríguez, 2009, J. Heuristics.

Multi-objective evolutionary GAN

Carlos A. Coello Coello, Marco Baioletti, Valentina Poggioni, 2020, GECCO Companion.

On learning kDNF/sub n//sup s/ Boolean formulas

Carlos A. Coello Coello, Arturo Hernández Aguirre, Bill P. Buckles, 2001, Proceedings Third NASA/DoD Workshop on Evolvable Hardware. EH-2001.

A novel approach to select the best portfolio considering the preferences of the decision maker

Eduardo Fernández, Carlos A. Coello Coello, Jorge Navarro, 2019, Swarm Evol. Comput..

A New Proposal for Multiobjecive Optimization Using Particle Swarm Optimization and Rough Sets Theory

Carlos A. Coello Coello, Luis V. Santana-Quintero, Julián Molina Luque, 2006, PPSN.

A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems

Carlos A. Coello Coello, José García-Nieto, Enrique Alba, 2010, IEEE Transactions on Evolutionary Computation.

Two decomposition-based modem metaheuristic algorithms for multi-objective optimization — A comparative study

Swagatam Das, Carlos A. Coello Coello, Juan M. Ramirez, 2013, 2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM).

Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2009 .

Use of an Artificial Immune System for Job Shop Scheduling

Carlos A. Coello Coello, Nareli Cruz Cortés, Daniel Cortés Rivera, 2003, ICARIS.

MOEA Testing and Analysis

Gary B. Lamont, Carlos A. Coello Coello, David A. Van Veldhuizen, 2002 .

Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2012, IEEE Transactions on Evolutionary Computation.

A Parallel Island Model for Hypervolume-Based Many-Objective Optimization

Enrique Alba, Carlos A. Coello Coello, Raquel Hernández Gómez, 2020, High-Performance Simulation-Based Optimization.

Dynamic Constrained Optimization with offspring repair based Gravitational Search Algorithm

Swagatam Das, Carlos A. Coello Coello, Chiranjib Saha, 2013, 2013 IEEE Congress on Evolutionary Computation.

Special issue on evolutionary computing and complex systems

Pascal Bouvry, Carlos A. Coello Coello, Oliver Schütze, 2013, Soft Comput..

Advances in Evolutionary Multi-objective Optimization

Carlos A. Coello Coello, Slim Bechikh, 2018, Swarm Evol. Comput..

Constraint-Handling Techniques used with Evolutionary Algorithms

Carlos A. Coello Coello, 2016, GECCO.

Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization

Kiyoshi Tanaka, Carlos A. Coello Coello, Antonio López Jaimes, 2011, EMO.

Current Status of the EMOO Repository, Including Current and Future Research Trends

Carlos A. Coello Coello, C. Coello, 2005, Practical Approaches to Multi-Objective Optimization.

Multi-Objective Particle Swarm Optimizers: An Experimental Comparison

Carlos A. Coello Coello, José García-Nieto, Enrique Alba, 2009, EMO.

An adaptive evolutionary algorithm based on typical chess problems for tuning a chess evaluation function

Feliu Sagols, Carlos A. Coello Coello, Eduardo Vázquez-Fernández, 2011, GECCO.

On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms

Michael T. M. Emmerich, Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Adding Knowledge And Efficient Data Structures To Evolutionary Programming: A Cultural Algorithm For Constrained Optimization

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2002, GECCO.

Towards a Surrogate-Assisted Multi-Objective Full Model Selection

Carlos A. Coello Coello, Alejandro Rosales-Pérez, Carlos A. Reyes-García, 2014 .

Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study

Carlos A. Coello Coello, Leticia C. Cagnina, Susana C. Esquivel, 2007, Evolutionary Scheduling.

Automated design of part feeders using a genetic algorithm

Alan D. Christiansen, Carlos A. Coello Coello, Andrea Dunham Edwards, 1996, Proceedings of IEEE International Conference on Robotics and Automation.

An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms

Adriana Menchaca-Mendez, Carlos A. Coello Coello, C. Coello, 2017, Soft Comput..

Improving the efficiency of ϵ-dominance based grids

Carlos A. Coello Coello, Luis V. Santana-Quintero, Rafael Caballero, 2011, Inf. Sci..

Parallel SMS-EMOA for Many-Objective Optimization Problems

Carlos A. Coello Coello, Raquel Hernández Gómez, 2016, GECCO.

Interactive Approaches Applied to Multiobjective Evolutionary Algorithms

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2013 .

Guest editorial: special issue on evolutionary multiobjective optimization

Carlos A. Coello Coello, C. Coello, 2003, IEEE Trans. Evol. Comput..

Dynamic fitness inheritance proportion for multi-objective particle swarm optimization

Carlos A. Coello Coello, Margarita Reyes Sierra, 2006, GECCO.

A Genetic Representation for Dynamic System Qualitative Models on Genetic Programming: A Gene Expression Programming Approach

Carlos A. Coello Coello, Juan J. Flores, Ramiro Serrato Paniagua, 2007, MICAI.

The EMOO repository: a resource for doing research in evolutionary multiobjective optimization

Carlos A. Coello Coello, C. Coello, 2006, IEEE Comput. Intell. Mag..

Evolutionary Multiobjective Optimization: Current and Future Challenges

Carlos A. Coello Coello, C. Coello, 2003 .

A non-cooperative game for faster convergence in cooperative coevolution for multi-objective optimization

Carlos A. Coello Coello, Luis Miguel Antonio, C. Coello, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

GA-Based Learning of kDNFns Boolean Formulas

Carlos A. Coello Coello, Arturo Hernández Aguirre, Bill P. Buckles, 2001, ICES.

GBOS: Generalized Best Order Sort algorithm for non-dominated sorting

Carlos A. Coello Coello, Sriparna Saha, Sumit Mishra, 2018, Swarm Evol. Comput..

Constraint-handling techniques used with evolutionary algorithms

Carlos A. Coello Coello, C. Coello, 2017, GECCO.

Handling preferences in evolutionary multiobjective optimization: a survey

Carlos A. Coello Coello, C. Coello, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

Hybridizing MOEAs with Mathematical-Programming Techniques

Carlos A. Coello Coello, Adriana Lara, Saul Zapotecas-Martinez, 2016 .

EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation

Pascal Bouvry, Carlos A. Coello Coello, Pierre Del Moral, 2013, EVOLVE.

An adaptive evolutionary algorithm based on tactical and positional chess problems to adjust the weights of a chess engine

Carlos A. Coello Coello, Eduardo Vázquez-Fernández, C. Coello, 2013, 2013 IEEE Congress on Evolutionary Computation.

Multi-objective model type selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, Neurocomputing.

Handling Constraints in Particle Swarm Optimization Using a Small Population Size

Carlos A. Coello Coello, Juan Carlos Fuentes Cabrera, C. Coello, 2007, MICAI.

MODE-LD+SS: A novel Differential Evolution algorithm incorporating local dominance and scalar selection mechanisms for multi-objective optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, Alfredo Arias Montaño, 2010, IEEE Congress on Evolutionary Computation.

On the mutual information as a fitness landscape measure

Carlos A. Coello Coello, Domagoj Jakobovic, Stjepan Picek, 2017, GECCO.

A particle swarm optimizer for multi-objective optimization

Carlos A. Coello Coello, Susana Cecilia Esquivel, Leticia Cagnina, 2005 .

An Ensemble Indicator-Based Density Estimator for Evolutionary Multi-objective Optimization

Carlos A. Coello Coello, Arnaud Liefooghe, Jesús Guillermo Falcón-Cardona, 2020, PPSN.

A T-cell algorithm for solving dynamic optimization problems

Carlos A. Coello Coello, Victoria S. Aragón, Susana C. Esquivel, 2011, Inf. Sci..

Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization

Carlos A. Coello Coello, Arturo Hernández Aguirre, Salvador Botello Rionda, 2003, GECCO.

A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems

Qiuzhen Lin, Carlos A. Coello Coello, Jia Wang, 2019, Appl. Soft Comput..

A Preliminary Study of Fitness Inheritance in Evolutionary Constrained Optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, Lucía Muñoz-Dávila, 2007, NICSO.

Cooperative multi-objective evolutionary support vector machines for multiclass problems

Francisco Herrera, Carlos A. Coello Coello, Hugo Terashima-Marín, 2018, GECCO.

Ant Colony System for the Design of Combinational Logic Circuits

Carlos A. Coello Coello, Arturo Hernández Aguirre, Rosa Laura Zavala Gutierrez, 2000, ICES.

MOEA Test Suites

Gary B. Lamont, Carlos A. Coello Coello, David A. Van Veldhuizen, 2002 .

A Review of Particle Swarm Optimization Methods Used for Multimodal Optimization

Carlos A. Coello Coello, Julio Barrera, C. Coello, 2009, Innovations in Swarm Intelligence.

Improving the vector generation strategy of Differential Evolution for large-scale optimization

Carlos A. Coello Coello, Carlos Segura, Alfredo García Hernández-Díaz, 2015, Inf. Sci..

An Algorithm Based on Differential Evolution for Multi-Objective Problems

Carlos A. Coello Coello, Luis V. Santana-Quintero, C. Coello, 2005 .

Analysis of leader selection strategies in a multi-objective Particle Swarm Optimizer

Carlos A. Coello Coello, Antonio J. Nebro, Juan J. Durillo, 2013, 2013 IEEE Congress on Evolutionary Computation.

Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems

Adriana Menchaca-Mendez, Carlos A. Coello Coello, C. Coello, 2016, Inf. Sci..

A hyper-heuristic of scalarizing functions

Carlos A. Coello Coello, Raquel Hernández Gómez, C. Coello, 2017, GECCO.

Convergence Analysis of a Multiobjective Artificial Immune System Algorithm

Carlos A. Coello Coello, Onésimo Hernández-Lerma, Mario Villalobos-Arias, 2004, ICARIS.

Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer

Carlos A. Coello Coello, Gregorio Toscano Pulido, C. Coello, 2004, GECCO.

Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, Jesús Velázquez-Reyes, 2005, GECCO '05.

A new indicator-based many-objective ant colony optimizer for continuous search spaces

Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, C. C. Coello, 2017, Swarm Intelligence.

Evolutionary Multi-Objective Optimization: Current State and Future Challenges

Carlos A. Coello Coello, 2005, HIS.

Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings

Kalyanmoy Deb, Eckart Zitzler, Carlos A. Coello Coello, 2001 .

Alternative Fitness Assignment Methods for Many-Objective Optimization Problems

Carlos A. Coello Coello, Gregorio Toscano Pulido, Mario Garza-Fabre, 2009, Artificial Evolution.

A multi-objective particle swarm optimizer based on decomposition

Saúl Zapotecas Martínez, Carlos A. Coello Coello, C. Coello, 2011, GECCO '11.

A comparative study of differential evolution variants for global optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, Jesús Velázquez-Reyes, 2006, GECCO.

On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2011, IEEE Transactions on Evolutionary Computation.

Handling Constraints in Genetic Algorithms Using Dominance-based Tournaments

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2002 .

Adaptation of operators and continuous control parameters in differential evolution for constrained optimization

Tapabrata Ray, Ruhul A. Sarker, Carlos A. Coello Coello, 2017, Soft Computing.

Improving the integration of the IGD+ indicator into the selection mechanism of a Multi-objective Evolutionary Algorithm

Carlos A. Coello Coello, Edgar Manoatl Lopez, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Studying the effect of techniques to generate reference vectors in many-objective optimization

Carlos A. Coello Coello, Miriam Pescador-Rojas, 2018, GECCO.

Objective reduction using a feature selection technique

Carlos A. Coello Coello, Debrup Chakraborty, Antonio López Jaimes, 2008, GECCO '08.

Multi-objective Optimization

Carlos A. Coello Coello, C. Coello, 2018, Handbook of Heuristics.

Synthesis of Boolean Functions Using Information Theory

Carlos A. Coello Coello, Arturo Hernández Aguirre, A. H. Aguirre, 2003, ICES.

Flame Classification through the Use of an Artificial Neural Network Trained with a Genetic Algorithm

Carlos A. Coello Coello, Juan Carlos Gómez, Guillermo Ronquillo-Lomelí, 2013, MICAI.

Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art

Carlos A. Coello Coello, Luis Miguel Antonio, C. Coello, 2018, IEEE Trans. Evol. Comput..

Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance

Carlos A. Coello Coello, Margarita Reyes Sierra, C. Coello, 2005, EMO.

Evolutionary multiobjective design targeting a Field Programmable Transistor Array

Carlos A. Coello Coello, Arturo Hernández Aguirre, Ricardo Salem Zebulum, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

Multi-Criteria Decision Making

Gary B. Lamont, Carlos A. Coello Coello, David A. Van Veldhuizen, 2002 .

A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator

Carlos A. Coello Coello, Edgar Manoatl Lopez, 2016, PPSN.

Useful Infeasible Solutions in Engineering Optimization with Evolutionary Algorithms

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2005, MICAI.

A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2010, IEEE Congress on Evolutionary Computation.

Optimizing constrained problems through a T-Cell artificial immune system

Carlos A. Coello Coello, Susana Cecilia Esquivel, Victoria S. Aragón, 2008 .

IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts

Carlos A. Coello Coello, Arturo Hernández Aguirre, Salvador Botello Rionda, 2003, EMO.

Use of a self-adaptive penalty approach for engineering optimization problems

Carlos A. Coello Coello, C. Coello, 2000 .

Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2014, Inf. Sci..

Asymptotic convergence of metaheuristics for multiobjective optimization problems

Carlos A. Coello Coello, Onésimo Hernández-Lerma, Mario Villalobos-Arias, 2006, Soft Comput..

A Particle Swarm Optimizer for Constrained Numerical Optimization

Carlos A. Coello Coello, Leticia C. Cagnina, Susana C. Esquivel, 2006, PPSN.

A novel multi-objective optimizer for handling reactive power

Carlos A. Coello Coello, Juan M. Ramirez, Miguel A. Medina, 2013, 2013 IEEE Grenoble Conference.

Surrogate-assisted multi-objective model selection for support vector machines

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2015, Neurocomputing.

Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size

Carlos A. Coello Coello, Juan Carlos Fuentes Cabrera, C. Coello, 2010, Multi-Objective Swarm Intelligent System.

Use of domain information to improve the performance of an evolutionary algorithm

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2005, GECCO '05.

Gene Regulatory Network model inference using evolutionary algorithms

Carlos A. Coello Coello, Eduardo A. Rodr, 2011 .

Application of the non-outranked sorting genetic algorithm to public project portfolio selection

Eduardo Fernández, Carlos A. Coello Coello, Rafael Olmedo, 2013, Inf. Sci..

Gate-level Synthesis of Boolean Functions using Information Theory Concepts

Carlos A. Coello Coello, Arturo Hernández Aguirre, 2003, ENC.

Coevolutionary Multi-objective Optimization Using Clustering Techniques

Carlos A. Coello Coello, Margarita Reyes Sierra, 2005, MICAI.

Decomposition-based modern metaheuristic algorithms for multi-objective optimal power flow - A comparative study

Swagatam Das, Carlos A. Coello Coello, Juan M. Ramirez, 2014, Eng. Appl. Artif. Intell..

The g̑-dominance Relation for Preference-Based Evolutionary Multi-Objective Optimization

Xin Lin, Carlos A. Coello Coello, Wenjian Luo, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

A Micro-Genetic Algorithm for Multiobjective Optimization

Carlos A. Coello Coello, Gregorio Tos ano Pulido, C. Coello, 2001, EMO.

Weighted pointwise prediction method for dynamic multiobjective optimization

Ruhul A. Sarker, Carlos A. Coello Coello, Daryl Essam, 2021, Inf. Sci..

Applying automatic heuristic-filtering to improve hyper-heuristic performance

Carlos A. Coello Coello, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

On the low-discrepancy sequences and their use in MOEA/D for high-dimensional objective spaces

Saúl Zapotecas Martínez, Kiyoshi Tanaka, Carlos A. Coello Coello, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

An empirical study of evolutionary techniques for multiobjective optimization in engineering design

Alan D. Christiansen, Carlos A. Coello Coello, A. Christiansen, 1996 .

A new selection mechanism based on hypervolume and its locality property

Adriana Menchaca-Mendez, Carlos A. Coello Coello, C. Coello, 2013, 2013 IEEE Congress on Evolutionary Computation.

Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2014, IEEE Transactions on Evolutionary Computation.

Constrained Optimization Using an Evolutionary Programming-based Cultural Algorithm

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2002 .

Boundary Search for Constrained Numerical Optimization Problems

Carlos A. Coello Coello, Guillermo Leguizamón, C. Coello, 2009 .

Optimization to Manage Supply Chain Disruptions Using the NSGA-II

Carlos A. Coello Coello, Matías Alvarado, Víctor A. Serrano-Hernandez, 2007, IFSA.

A parallel naive approach for non-dominated sorting: a theoretical study considering PRAM CREW model

Carlos A. Coello Coello, Sumit Mishra, C. Coello, 2020, Soft Computing.

A parallel implementation of an artificial immune system to handle constraints in genetic algorithms: preliminary results

Carlos A. Coello Coello, N. Cruz Cortes, C. Coello, 2002, IEEE Congress on Evolutionary Computation.

Are State-of-the-Art Fine-Tuning Algorithms Able to Detect a Dummy Parameter?

Leslie Pérez Cáceres, Carlos A. Coello Coello, María Cristina Riff, 2012, PPSN.

Constraint-handling techniques used with evolutionary algorithms

Carlos A. Coello Coello, 2014, GECCO.

Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization

Jing J. Liang, Carlos A. Coello Coello, Maurice Clerc, 2006 .

A nonlinear simplex search approach for multi-objective optimization

Saúl Zapotecas Martínez, Carlos A. Coello Coello, Alfredo Arias Montaño, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Assessment Methodologies for Multiobjective Evolutionary Algorithms

Ruhul A. Sarker, Carlos A. Coello Coello, C. Coello, 2003 .

Learning and Intelligent Optimization - 5th International Conference, LION 5, Rome, Italy, January 17-21, 2011. Selected Papers

Carlos A. Coello Coello, 2011, LION.

Algorithms and models for complex natural systems

Carlos A. Coello Coello, Mario Pavone, Natalio Krasnogor, 2015, Natural Computing.

Effective ranking + speciation = Many-objective optimization

Carlos A. Coello Coello, Gregorio Toscano Pulido, Eduardo Rodriguez-Tello, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Dynamic control of the number of crossed genes in evolutionary many-objective optimization

Kiyoshi Tanaka, Hiroyuki Sato, Carlos A. Coello Coello, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

An archiving strategy based on the Convex Hull of Individual Minima for MOEAs

Saúl Zapotecas Martínez, Carlos A. Coello Coello, C. Coello, 2010, IEEE Congress on Evolutionary Computation.

Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems

Carlos A. Coello Coello, Luis V. Santana-Quintero, Alfredo García Hernández-Díaz, 2008, GECCO '08.

Efficient Affine 2D-image Registration Using Evolutionary Strategies

Carlos A. Coello Coello, Arturo Hernández Aguirre, Héctor Fernando Gómez García, 2002, GECCO.

Multiobjective Optimization and Artificial Immune Systems: A Review

Fabio Freschi, Carlos A. Coello Coello, Maurizio Repetto, 2009 .

Solving multi-objective optimization problems using differential evolution and a maximin selection criterion

Adriana Menchaca-Mendez, Carlos A. Coello Coello, 2012, 2012 IEEE Congress on Evolutionary Computation.

Epsilon-constraint with an efficient cultured differential evolution

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2007, GECCO '07.

On the adaptation of the mutation scale factor in differential evolution

Carlos A. Coello Coello, Eduardo Segredo, Carlos Segura, 2015, Optim. Lett..

Selection Operators Based on Maximin Fitness Function for Multi-Objective Evolutionary Algorithms

Adriana Menchaca-Mendez, Carlos A. Coello Coello, 2013, EMO.

An Overview of Weighted and Unconstrained Scalarizing Functions

Carlos A. Coello Coello, María Cristina Riff, Elizabeth Montero, 2017, EMO.

A spatial land-use planning support system based on game theory

Carlos A. Coello Coello, Farshad Hakimpour, Zohreh Masoumi, 2020 .

Saving evaluations in differential evolution for constrained optimization

Carlos A. Coello Coello, Efrén Mezura-Montes, 2005, Sixth Mexican International Conference on Computer Science (ENC'05).

Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes

Ruhul A. Sarker, Carlos A. Coello Coello, Daryl Essam, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Multi-objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges

Carlos A. Coello Coello, C. Coello, 2015 .

Dynamic urban land-use change management using multi-objective evolutionary algorithms

Carlos A. Coello Coello, Ali Mansourian, Zohreh Masoumi, 2020, Soft Comput..

Fitness inheritance in multi-objective particle swarm optimization

Carlos A. Coello Coello, Margarita Reyes Sierra, 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

Evolutionary multi-objective optimization

Eckart Zitzler, Carlos A. Coello Coello, Arturo Hernández Aguirre, 2007, Eur. J. Oper. Res..

Differential Evolution performances for the solution of mixed-integer constrained process engineering problems

Antonin Ponsich, Carlos A. Coello Coello, C. Coello, 2011, Appl. Soft Comput..

A Cooperative Opposite-Inspired Learning Strategy for Ant-Based Algorithms

Carlos A. Coello Coello, María Cristina Riff, Elizabeth Montero, 2018, ANTS Conference.

SMPSO: A new PSO-based metaheuristic for multi-objective optimization

Enrique Alba, Francisco Luna, Carlos A. Coello Coello, 2009, 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making(MCDM).

MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator

Adriana Menchaca-Mendez, Carlos A. Coello Coello, 2014, PPSN.

Some techniques to deal with many-objective problems

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2009, GECCO '09.

An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies

Ka-Chun Wong, Qiuzhen Lin, Carlos A. Coello Coello, 2018, Inf. Sci..

Evolutionary Multi-Objective Optimization in Finance

Carlos A. Coello Coello, C. Coello, 2007 .

Evolutionary Black-Box Topology Optimization: Challenges and Promises

Wojciech Matusik, Carlos A. Coello Coello, Kazuhiro Saitou, 2020, IEEE Transactions on Evolutionary Computation.

EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation IV [EVOLVE 2013, Leiden The Netherlands, July 10-13, 2013]

Pascal Bouvry, Carlos A. Coello Coello, Pierre Del Moral, 2013 .

A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2014, IEEE Transactions on Evolutionary Computation.

An improved version of a reference-based multi-objective evolutionary algorithm based on IGD+

Carlos A. Coello Coello, Edgar Manoatl Lopez, C. Coello, 2018, GECCO.

A Cultural Algorithm for Solving the Job Shop Scheduling Problem

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2005 .

Constraint-handling techniques used with evolutionary algorithms

Carlos A. Coello Coello, 2010, GECCO.

Ranking Methods for Many-Objective Optimization

Carlos A. Coello Coello, Gregorio Toscano Pulido, Mario Garza-Fabre, 2009, MICAI.

Applications Of Multi-Objective Evolutionary Algorithms

Gary B. Lamont, Carlos A. Coello Coello, C. Coello, 2004 .

Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization

Gara Miranda, Carlos A. Coello Coello, Carlos Segura, 2016, Ann. Oper. Res..

Genetic Algorithms and Case-Based Reasoning as a Discovery and Learning Machine in the Optimization of Combinational Logic Circuits

Carlos A. Coello Coello, Arturo Hernández Aguirre, E. Islas Pérez, 2002, MICAI.

Constraint-handling techniques used with evolutionary algorithms

Carlos A. Coello Coello, 2007, GECCO '07.

An empirical study about the usefulness of evolution strategies to solve constrained optimization problems

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2008, Int. J. Gen. Syst..

Exploiting the Trade-off between Convergence and Diversity Indicators

Hisao Ishibuchi, Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Using a new GA-based multiobjective optimization technique for the design of robot arms

Alan D. Christiansen, Carlos A. Coello Coello, Arturo Hernández Aguirre, 1998, Robotica.

EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2016, Intelligent Data Analysis.

A novel diversification strategy for multi-objective evolutionary algorithms

Saúl Zapotecas Martínez, Carlos A. Coello Coello, C. Coello, 2010, GECCO '10.

Bio-inspired computation: Where we stand and what's next

Xin-She Yang, Javier Del Ser, Francisco Herrera, 2019, Swarm Evol. Comput..

Human Preferences and their Applications in Evolutionary Multi—Objective Optimization

Carlos A. Coello Coello, Dragan Cvetković, C. Coello, 2005 .

Multi-objective evolutionary algorithms: a review of the state-of-the-art and some of their applications in chemical engineering

Carlos A. Coello Coello, Antonio López Jaimes, 2007 .

Use of Multiobjective Optimization Concepts to Handle Constraints in Genetic Algorithms

Carlos A. Coello Coello, Efrén Mezura-Montes, C. Coello, 2005, Evolutionary Multiobjective Optimization.

Use of Emulations of the Immune System to Handle Constraints in Evolutionary Algorithms

Carlos A. Coello Coello, Nareli Cruz Cortés, C. Coello, 2001 .

Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm

Qiuzhen Lin, Carlos A. Coello Coello, Jianyong Chen, 2016, Inf. Sci..

An Introduction to Swarm Intelligence for Multi-objective Problems

Carlos A. Coello Coello, Satchidananda Dehuri, Susmita Ghosh, 2009 .

Guest Editorial: Special Issue on Advances in Multiobjective Evolutionary Algorithms for Data Mining

Witold Pedrycz, Ujjwal Maulik, Sanghamitra Bandyopadhyay, 2014, IEEE Trans. Evol. Comput..

Combinatorial and numerical optimization Particle Swarm Optimization Evolutionary design

Hussein A. Abbass, Kay Chen Tan, Sergio Butkewitsch, 2015 .

IGD+-EMOA: A multi-objective evolutionary algorithm based on IGD+

Carlos A. Coello Coello, Edgar Manoatl Lopez, C. Coello, 2016, CEC.

A Simple Evolution Strategy to Solve Constrained Optimization Problems

Carlos A. Coello Coello, Efrén Mezura-Montes, 2003, GECCO.

Multiobjective design optimization of counterweight balancing of a robot arm using genetic algorithms

Alan D. Christiansen, Carlos A. Coello Coello, Arturo Hernández Aguirre, 1995, Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence.

What Makes a Constrained Problem Difficult to Solve by an Evolutionary Algorithm

Carlos A. Coello Coello, Efrén Mezura-Montes, 2004 .

Multi-Objective Combinatorial Optimization: Problematic and Context

Carlos A. Coello Coello, Laetitia Vermeulen-Jourdan, Clarisse Dhaenens, 2010, Advances in Multi-Objective Nature Inspired Computing.

GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator

Adriana Menchaca-Mendez, Carlos A. Coello Coello, C. Coello, 2015, EMO.

A coevolutionary multi-objective evolutionary algorithm

Carlos A. Coello Coello, Margarita Reyes Sierra, C. Coello, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems

Jun Zhang, Ka-Chun Wong, Qiuzhen Lin, 2018, IEEE Transactions on Evolutionary Computation.

A Cultural Algorithm with Differential Evolution to Solve Constrained Optimization Problems

Carlos A. Coello Coello, Ricardo Landa Becerra, C. Coello, 2004, IBERAMIA.

Evolutionary multiobjective optimization: open research areas and some challenges lying ahead

Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia, Raquel Hernández Gómez, 2019, Complex & Intelligent Systems.

Solving Permutation Problems with Differential Evolution: An Application to the Jobshop Scheduling Problem

Antonin Ponsich, Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Un nuevo algoritmo evolutivo para la optimización de una o varias funciones objetivo sujetas a restricciones

Carlos A. Coello Coello, Salvador Botello, Arturo Hernández, 2004 .

Self-adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms

Saúl Zapotecas Martínez, Carlos A. Coello Coello, Edgar G. Yáñez Oropeza, 2011, LION.

A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-gradient Mathematical Programming Techniques

Saúl Zapotecas Martínez, Carlos A. Coello Coello, 2008, PPSN.

Recent Trends in Evolutionary Multiobjective Optimization

Carlos A. Coello Coello, C. Coello, 2005, Evolutionary Multiobjective Optimization.

IEEE CIS VP-Members Activities Vision Statement [Society Briefs]

Carlos A. Coello Coello, 2019, IEEE Comput. Intell. Mag..

A T-cell algorithm for solving dynamic economic power dispatch problems

Carlos A. Coello Coello, Victoria S. Aragón, Mario Guillermo Leguizamón, 2020 .

Constraint-Handling Techniques used with Evolutionary Algorithms

Carlos A. Coello Coello, 2015, GECCO.

A novel local search mechanism based on the reflected ray tracing method coupled to MOEA/D

Carlos A. Coello Coello, Miriam Pescador-Rojas, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

A study of fitness inheritance and approximation techniques for multi-objective particle swarm optimization

Carlos A. Coello Coello, Margarita Reyes Sierra, 2005, 2005 IEEE Congress on Evolutionary Computation.

Evolutionary multiobjective optimization

Carlos A. Coello Coello, C. Coello, 2011, WIREs Data Mining Knowl. Discov..

Distributed Multi-Objective Metaheuristics for Real-World Structural Optimization Problems

Francisco Luna, Carlos A. Coello Coello, Antonio J. Nebro, 2016, Comput. J..

Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms

Carlos A. Coello Coello, El-Ghazali Talbi, Oliver Schütze, 2008, GECCO '08.

An Introduction to the Use of Evolutionary Computation Techniques for Dealing with ECG Signals

Carlos A. Coello Coello, Guillermo Leguizamón, C. Coello, 2012 .

A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems

Enrique Alba, Carlos A. Coello Coello, Raquel Hernández Gómez, 2016, PPSN.

Robust Multiscale Affine 2D-Image Registration through Evolutionary Strategies

Carlos A. Coello Coello, Arturo Hernández Aguirre, José L. Marroquín, 2002, PPSN.

Particle Swarm Optimization in Non-stationary Environments

Carlos A. Coello Coello, Susana C. Esquivel, C. Coello, 2004, IBERAMIA.

An optimal power flow plus transmission costs solution

Carlos A. Coello Coello, Juan M. Ramirez, Y. Pablo Oñate, 2009 .

Test Function Generators for Assessing the Performance of PSO Algorithms in Multimodal Optimization

Carlos A. Coello Coello, Julio Barrera, C. Coello, 2011 .

MRMOGA: a new parallel multi-objective evolutionary algorithm based on the use of multiple resolutions: Research Articles

Carlos A. Coello Coello, Antonio López Jaimes, 2007 .

Handling multiple objectives with particle swarm optimization

Carlos A. Coello Coello, Gregorio Toscano Pulido, M. Salazar Lechuga, 2004, IEEE Transactions on Evolutionary Computation.

Comparison of metamodeling techniques in evolutionary algorithms

Carlos A. Coello Coello, Gregorio Toscano Pulido, Alan Díaz-Manríquez, 2017, Soft Comput..

The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms

Carlos A. Coello Coello, Oliver Schütze, Shaul Salomon, 2012, EVOLVE.

Solving a Real-World Structural Optimization Problem with a Distributed SMS-EMOA Algorithm

Francisco Luna, Carlos A. Coello Coello, Antonio J. Nebro, 2013, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

A More Efficient Selection Scheme in iSMS-EMOA

Adriana Menchaca-Mendez, Carlos A. Coello Coello, María Cristina Riff, 2014, IBERAMIA.

A new multi-objective evolutionary algorithm based on a performance assessment indicator

Carlos A. Coello Coello, Cynthia A. Rodríguez Villalobos, C. Coello, 2012, GECCO.

P-ENS: Parallelism in Efficient Non-Dominated Sorting

Carlos A. Coello Coello, Sumit Mishra, C. Coello, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

An evolutionary multi-objective approach for prototype generation

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary Algorithm MOP Approaches

Gary B. Lamont, Carlos A. Coello Coello, David A. Van Veldhuizen, 2002 .

Applications of Multi-Objective Evolutionary Algorithms, Vol. 1, by

Carlos A. Coello Coello, Carlos Brizuela, B Gary, 2006 .

Extracting and re-using design patterns from genetic algorithms using case-based reasoning

Carlos A. Coello Coello, Arturo Hernández Aguirre, A. H. Aguirre, 2003 .

Handling constraints using multiobjective optimization concepts

Carlos A. Coello Coello, Arturo Hernández Aguirre, Salvador Botello Rionda, 2004 .

Parallel Problem Solving from Nature - PPSN XII

Vincenzo Cutello, Giuseppe Nicosia, Carlos A. Coello Coello, 2012, Lecture Notes in Computer Science.

A Fitness Granulation Approach for Large-Scale Structural Design Optimization

Carlos A. Coello Coello, Mohsen Davarynejad, Jos L. M. Vrancken, 2012, Variants of Evolutionary Algorithms for Real-World Applications.

An Adaptive Recombination-Based Extension of the iMOACOR Algorithm

Carlos A. Coello Coello, Khalid M. Salama, Ashraf M. Abdelbar, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques

Carlos A. Coello Coello, C. Coello, 1999, Knowledge and Information Systems.

Solving timetabling problems using a cultural algorithm

Carlos A. Coello Coello, Ricardo Landa Becerra, María Cristina Riff, 2011, Appl. Soft Comput..

Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance

Carlos A. Coello Coello, Nele Mentens, Domagoj Jakobovic, 2016, EvoCOP.

Two novel approaches for many-objective optimization

Carlos A. Coello Coello, Gregorio Toscano Pulido, Mario Garza-Fabre, 2010, IEEE Congress on Evolutionary Computation.

A new memetic strategy for the numerical treatment of multi-objective optimization problems

Carlos A. Coello Coello, Oliver Schütze, Gustavo Sanchez, 2008, GECCO '08.

Towards a More Efficient Multi-Objective Particle Swarm Optimizer

Carlos A. Coello Coello, Luis V. Santana-Quintero, Noel Ramírez-Santiago, 2008 .

AN INTRODUCTION TO MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS AND THEIR APPLICATIONS

Gary B. Lamont, Carlos A. Coello Coello, C. Coello, 2004 .

The Turing-850 Project: Developing a Personal Computer in the Early 1980s in Mexico

Francisco Rodríguez-Henríquez, Carlos A. Coello Coello, Daniel Ortiz Arroyo, 2010, IEEE Annals of the History of Computing.

Towards a more general many-objective evolutionary optimizer using multi-indicator density estimation

Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, 2018, GECCO.

Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II

Vincenzo Cutello, Giuseppe Nicosia, Carlos A. Coello Coello, 2012, PPSN 2012.

Limiting the velocity in particle swarm optimization using a geometric series

Carlos A. Coello Coello, Julio Barrera, C. Coello, 2009, GECCO.

On the use of particle swarm optimization with multimodal functions

Carlos A. Coello Coello, Susana Cecilia Esquivel, C. Coello, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III [EVOLVE 2012, Mexico City, Mexico, August 7-9, 2012, selection of extended papers]

Pascal Bouvry, Carlos A. Coello Coello, Pierre Del Moral, 2014, EVOLVE.

Rough Sets Theory for Multi-Objective Optimization Problems

Carlos A. Coello Coello, Luis V. Santana-Quintero, Rafael Caballero, 2008 .

A Memetic PSO Algorithm for Scalar Optimization Problems

Carlos A. Coello Coello, El-Ghazali Talbi, Oliver Schütze, 2007, 2007 IEEE Swarm Intelligence Symposium.

Introducci´ on a la Computaci´ on Evolutiva (Notas de Curso)

Carlos A. Coello Coello, C. A. Coello, 2008 .

Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems

Carlos A. Coello Coello, Efrén Mezura-Montes, Noha M. Hamza, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored

Carlos A. Coello Coello, C. Coello, 2009, Frontiers of Computer Science in China.

MD-MOEA : A new MOEA based on the maximin fitness function and Euclidean distances between solutions

Adriana Menchaca-Mendez, Carlos A. Coello Coello, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

New challenges for memetic algorithms on continuous multi-objective problems

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2010, GECCO '10.

Collaborative and Adaptive Strategies of Different Scalarizing Functions in MOEA/D

Carlos A. Coello Coello, Miriam Pescador-Rojas, C. Coello, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary continuation methods for optimization problems

Carlos A. Coello Coello, Oliver Schütze, Adriana Lara, 2009, GECCO.

An approach based on the use of the ant system to design combinational logic circuits

Carlos A. Coello Coello, Benito Mendoza García, 2002 .

Evolutionary multiobjective optimization using an outranking-based dominance generalization

Carlos A. Coello Coello, Eduardo Fernández, Edy Lopez, 2010, Comput. Oper. Res..

Tutorial: Metaheuristics for multiobjective optimization

Carlos A. Coello Coello, 2009, MCDM.

Evolutionary Algorithms for Solving Multi-Objective Problems

Gary B. Lamont, Carlos A. Coello Coello, David A. Van Veldhuizen, 2002, Genetic Algorithms and Evolutionary Computation.

Preference Incorporation into Many-Objective Optimization: An Outranking-based Ant Colony Algorithm pdf

Carlos A. Coello Coello, Nelson Rangel-Valdez, Claudia Gómez Santillán, 2021, ArXiv.

An Ensemble of Scalarizing Functions and Weight Vectors for Evolutionary Multi-Objective Optimization

Carlos A. Coello Coello, Diana Cristina Valencia-Rodríguez, 2021, CEC.

An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective Optimizers

Carlos A. Coello Coello, Amín V. Bernabé Rodríguez, C. Coello, 2021, CEC.

Hypervolume by Slicing Objective Algorithm: An Improved Version

Carlos A. Coello Coello, Sumit Mishra, Srinibas Swain, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey

Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia, Jesús Guillermo Falcón-Cardona, 2021, Swarm Evol. Comput..

The Influence of Swarm Topologies in Many-Objective Optimization Problems

Carlos A. Coello Coello, Diana Cristina Valencia-Rodríguez, C. Coello, 2021, EMO.

Correction to: An Overview of Pair-Potential Functions for Multi-objective Optimization

Carlos A. Coello Coello, Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, 2021 .

Smart Multi-Objective Evolutionary GAN

Carlos A. Coello Coello, Marco Baioletti, Valentina Poggioni, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Multi-Objective Evolutionary Algorithms: Past, Present, and Future

Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia, Silvia González Brambila, 2021 .

Uniform mixture design via evolutionary multi-objective optimization

Saúl Zapotecas Martínez, Adriana Menchaca-Mendez, Carlos A. Coello Coello, 2021, Swarm Evol. Comput..

COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems

Carlos A. Coello Coello, Raúl Monroy, Víctor Adrián Sosa-Hernández, 2021, Swarm Evol. Comput..

Enhancing Robustness and Resilience of Multiplex Networks Against Node-Community Cascading Failures

Maoguo Gong, Asoke K. Nandi, Qiuzhen Lin, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A Novel Parametric benchmark generator for dynamic multimodal optimization

Ruhul A. Sarker, Carlos A. Coello Coello, Daryl Essam, 2021, Swarm Evol. Comput..

Constraint-handling techniques used with evolutionary algorithms

Carlos A. Coello Coello, C. Coello, 2021, GECCO.

CIS Publication Spotlight [Publication Spotlight]

Julian Togelius, Carlos A. Coello Coello, Yew-Soon Ong, 2021, IEEE Computational Intelligence Magazine.

Cultural Algorithms for Optimization

Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia, 2021, Handbook of AI-based Metaheuristics.

An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization

Maoguo Gong, Qiuzhen Lin, Carlos A. Coello Coello, 2021, IEEE Transactions on Evolutionary Computation.

CIS Publication Spotlight [Publication Spotlight]

Julian Togelius, Carlos A. Coello Coello, Yaochu Jin, 2021, IEEE Computational Intelligence Magazine.

A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems

Ruhul A. Sarker, Carlos A. Coello Coello, Daryl Essam, 2021, Applied Soft Computing.

Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy With Repelling Subpopulations

Carlos A. Coello Coello, Daryl Essam, Saber M. Elsayed, 2021, IEEE Transactions on Evolutionary Computation.

Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling

Ruhul A. Sarker, Carlos A. Coello Coello, Daryl Essam, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

Javier Del Ser, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, 2021, Swarm Evol. Comput..

Convergence speed in multi‐objective metaheuristics: Efficiency criteria and empirical study

Enrique Alba, Francisco Luna, Carlos A. Coello Coello, 2010 .

A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective

Sung-Bae Cho, Carlos A. Coello Coello, Satchidananda Dehuri, 2009 .

Solving constrained optimization problems with a hybrid particle swarm optimization algorithm

Carlos A. Coello Coello, Susana Cecilia Esquivel, C. Coello, 2011 .

Highly reliable optimal solutions to multi-objective problems and their evolution by means of worst-case analysis

Carlos A. Coello Coello, Gideon Avigad, 2010 .

Multi-Objective Optimization using Differential Evolution : A Survey of the State-ofthe-Art

Carlos A. Coello Coello, Efrén Mezura-Montes, Margarita Reyes-Sierra, 2008 .

On the detection of nearly optimal solutions in the context of single-objective space mission design problems

Massimiliano Vasile, Carlos A. Coello Coello, Oliver Schütze, 2011 .

A memetic algorithm with simplex crossover for solving constrained optimization problems

Carlos A. Coello Coello, Miriam Pescador Rojas, 2012, WAC 2012.

Chapter 1 Multi-Objective Evolutionary Algorithms : A Review of the State-ofthe-Art and some of their Applications in Chemical Engineering

Carlos A. Coello Coello, Antonio López Jaimes, C. Coello, 2007 .

A new multi-objective evolutionary algorithm: neighbourhood exploring evolution strategy

Carlos A. Coello Coello, Xiaolin Hu, Zhangcan Huang, 2005 .

Detecting Hidden Information from Watermarked Signal using Granulation Based Fitness Approximation

Majid Bahrepour, Carlos A. Coello Coello, Chang Wook Ahn, 2009 .

An empirical comparison of two crossover operators in real-coded genetic algorithms for constrained numerical optimization problems

Carlos A. Coello Coello, Efren Mezura-Montes, Adriana Cervantes-Castillo, 2014, 2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

Computing the Set of Approximate Solutions of an MOP with Stochastic Search Algorithms

Carlos A. Coello Coello, El-Ghazali Talbi, E. Talbi, 2006 .

A new mechanism to maintain diversity in multi-objective metaheuristics

Carlos A. Coello Coello, Gregorio Toscano Pulido, Mario Villalobos-Arias, 2012 .

Approximating Pareto sets with Stochastic Search Algorithms

Carlos A. Coello Coello, El-Ghazali Talbi, Oliver Schuetze, 2007 .