Kalyanmoy Deb

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MONOTONICITY ANALYSIS, EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION, AND DISCOVERY OF DESIGN PRINCIPLES

Kalyanmoy Deb, 2006 .

Constructing test problems for bilevel evolutionary multi-objective optimization

Kalyanmoy Deb, Ankur Sinha, K. Deb, 2009, 2009 IEEE Congress on Evolutionary Computation.

Hybrid evolutionary multi-objective optimization and analysis of machining operations

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2012 .

Multiphase Balance of Diversity and Convergence in Multiobjective Optimization

Kalyanmoy Deb, Mohamed Abouhawwash, Haitham Seada, 2019, IEEE Transactions on Evolutionary Computation.

Fusion of Many-Objective Non-dominated Solutions Using Reference Points

Shahryar Rahnamayan, Kalyanmoy Deb, Miguel Vargas Martin, 2017, EMO.

Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization

Kalyanmoy Deb, Erik D. Goodman, Lihong Xu, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection

Kalyanmoy Deb, Vadlamani Ravi, Vadlamani Srikrishna, 2015, MIWAI.

A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization

Kalyanmoy Deb, Dhiraj Joshi, Ashish Anand, 2002, Evolutionary Computation.

Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem

Kalyanmoy Deb, Carlos M. Fonseca, Dilip Datta, 2007, Evolutionary Scheduling.

Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms

Kalyanmoy Deb, Vadlamani Ravi, Dadabada Pradeepkumar, 2017, Swarm Evol. Comput..

Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems

Kalyanmoy Deb, Amarendra Kumar, K. Deb, 1995, Complex Syst..

Genetic-Fuzzy Approach in Robot Motion Planning Revisited: Rigorous Testing and towards an Implementation

Kalyanmoy Deb, Akshay Mohan, 2002, AFSS.

Optimisation of crop configuration using NSGA-III with categorical genetic operators

Kalyanmoy Deb, Vladimir S. Crnojevic, Oskar Marko, 2019, GECCO.

Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations

Kalyanmoy Deb, Mike Preuss, Ali Ahrari, 2017, Evolutionary Computation.

Understanding Interactions among Genetic Algorithm Parameters

Kalyanmoy Deb, Samir Agrawal, K. Deb, 1998, FOGA.

Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems

Kalyanmoy Deb, Ankur Sinha, Tharo Soun, 2019, Swarm Evol. Comput..

A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization

Kalyanmoy Deb, Sunith Bandaru, K. Deb, 2013, EMO.

Solving metameric variable-length optimization problems using genetic algorithms

Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill, 2017, Genetic Programming and Evolvable Machines.

Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches

Kalyanmoy Deb, Robert T. F. Ah King, Harry C. S. Rughooputh, 2005, EMO.

Interleaving Guidance in Evolutionary Multi-Objective Optimization

Hussein A. Abbass, Kalyanmoy Deb, Daryl Essam, 2008, Journal of Computer Science and Technology.

Accounting for Noise in the Sizing of Populations

Kalyanmoy Deb, David E. Goldberg, James H. Clark, 1992, FOGA.

Reference point based multi-objective optimization using evolutionary algorithms

Kalyanmoy Deb, J. Sundar, Rao N. Udaya Bhaskara, 2006, GECCO '06.

Solving Bilevel Multicriterion Optimization Problems With Lower Level Decision Uncertainty

Kalyanmoy Deb, Jyrki Wallenius, Ankur Sinha, 2016, IEEE Transactions on Evolutionary Computation.

Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization

Kalyanmoy Deb, Santosh Tiwari, K. Deb, 2008, Eur. J. Oper. Res..

Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover

Kalyanmoy Deb, Hans-Georg Beyer, K. Deb, 1999, GECCO.

Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation

Kalyanmoy Deb, Alvin J. M. Smucker, Mohammad Abouali, 2019, EMO.

Late parallelization and feedback approaches for distributed computation of evolutionary multi-objective optimization algorithms

Kalyanmoy Deb, O. Tolga Altinoz, K. Deb, 2015, Neural Computing and Applications.

Guest Editorial for the 8th Symposium on Search Based Software Engineering Special Section

Kalyanmoy Deb, Marouane Kessentini, Federica Sarro, 2018, Inf. Softw. Technol..

A genetic-fuzzy approach for mobile robot navigation among moving obstacles

Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh, 1999, Int. J. Approx. Reason..

Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings

Kalyanmoy Deb, Tomoyuki Hiroyasu, Shigeru Obayashi, 2007, EMO.

Recent advances in evolutionary multi-criterion optimization (EMO)

Kalyanmoy Deb, K. Deb, 2017, GECCO.

Distributed approaches for reference-point-based multi-objective hybrid problems

Kalyanmoy Deb, Asim Egemen Yilmaz, Okkes Tolga Altinöz, 2018, Inf. Sci..

Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach

Kalyanmoy Deb, Amit Saha, K. Deb, 2010, GECCO '10.

Reference point based distributed computing for multiobjective optimization

Kalyanmoy Deb, Asim Egemen Yilmaz, Okkes Tolga Altinöz, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach

Kalyanmoy Deb, Amit Saha, K. Deb, 2010, SEAL.

Code-Smell Detection as a Bilevel Problem

Kalyanmoy Deb, Marouane Kessentini, Slim Bechikh, 2014, TSEM.

Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms

Shahryar Rahnamayan, Kalyanmoy Deb, A. K. M. Khaled Ahsan Talukder, 2017, EMO.

Novel composition test functions for numerical global optimization

Jing J. Liang, Kalyanmoy Deb, Ponnuthurai N. Suganthan, 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

Interrelationship-Based Selection for Decomposition Multiobjective Optimization

Qingfu Zhang, Kalyanmoy Deb, Sam Kwong, 2015, IEEE Transactions on Cybernetics.

A Novel Class of Test Problems for Performance Evaluation of Niching Methods

Kalyanmoy Deb, Ali Ahrari, K. Deb, 2018, IEEE Transactions on Evolutionary Computation.

Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results

Xin Yao, Kalyanmoy Deb, Ke Li, 2017, EMO.

On the performance of classification algorithms for learning Pareto-dominance relations

Kalyanmoy Deb, Amos H. C. Ng, Sunith Bandaru, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Handling practicalities in agricultural policy optimization for water quality improvements

Kalyanmoy Deb, Zhichao Lu, Ankur Sinha, 2017, GECCO.

Metamodeling for multimodal selection functions in evolutionary multi-objective optimization

Kalyanmoy Deb, Proteek Chandan Roy, Rayan Hussein, 2017, GECCO.

Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2015, EMO.

Constrained many-objective optimization: A way forward

Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari, 2009, 2009 IEEE Congress on Evolutionary Computation.

Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives

Kalyanmoy Deb, Shashi Mittal, K. Deb, 2006, IEEE Transactions on Evolutionary Computation.

Analysis of Selection Algorithms: A Markov Chain Approach

Kalyanmoy Deb, Uday Kumar Chakraborty, Mandira Chakraborty, 1996, Evolutionary Computation.

Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms

Kalyanmoy Deb, Mariano Luque, Jose Manuel Cabello, 2009, 2009 IEEE Congress on Evolutionary Computation.

NEMO: neural enhancement for multiobjective optimization

Kalyanmoy Deb, Gerry V. Dozier, Aaron Garrett, 2007, 2007 IEEE Congress on Evolutionary Computation.

Identification and Impact Assessment of High-Priority Field Failures in Passenger Vehicles Using Evolutionary Optimization

Kalyanmoy Deb, Abhinav Gaur, Vineet R. Khare, 2012, BIC-TA.

Multimodal truss structure design using bilevel and niching based evolutionary algorithms

Xiaodong Li, Kalyanmoy Deb, Md. Jakirul Islam, 2017, GECCO.

R-HV: A Metric for Computing Hyper-volume for Reference Point Based EMOs

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2014, SEMCCO.

Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms

Kalyanmoy Deb, Nikhil Padhye, K. Deb, 2013, Comput. Optim. Appl..

Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2016, Soft Comput..

U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results

Kalyanmoy Deb, Haitham Seada, K. Deb, 2015, EMO.

Handling many-objective problems using an improved NSGA-II procedure

Kalyanmoy Deb, Himanshu Jain, K. Deb, 2012, 2012 IEEE Congress on Evolutionary Computation.

A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problems

Kalyanmoy Deb, Xiaodong Li, Behrooz Ghasemishabankareh, 2019, Soft Comput..

Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling

Kalyanmoy Deb, S. Karthik, N. UdayaBhaskaraRao, 2007, EMO.

Comparison of Multiobjective Evolutionary Algorithms: Empirical Results

Lothar Thiele, Kalyanmoy Deb, Eckart Zitzler, 2000, Evolutionary Computation.

Towards understanding constraint-handling methods in evolutionary algorithms

Zbigniew Michalewicz, Kalyanmoy Deb, M. Schmidt, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

A New Approach for Network Topology Optimization

Kalyanmoy Deb, Sanjay K. Bose, T. Srinivasa Rao, 1995 .

Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization

Qingfu Zhang, Kalyanmoy Deb, Ke Li, 2017, IEEE Transactions on Cybernetics.

Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms

Kalyanmoy Deb, Sulabh Gupta, Dhanesh Padmanabhan, 2007, EMO.

Multi-objective optimization and decision making approaches to cricket team selection

Kalyanmoy Deb, Abhilash Jindal, Faez Ahmed, 2013, Appl. Soft Comput..

Multi-objective path planning using spline representation

Kalyanmoy Deb, Faez Ahmed, K. Deb, 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

A Hybrid Framework for Evolutionary Multi-Objective Optimization

Kalyanmoy Deb, Kaisa Miettinen, Karthik Sindhya, 2013, IEEE Transactions on Evolutionary Computation.

Finding optimal strategies in a multi-period multi-leader-follower Stackelberg game using an evolutionary algorithm pdf

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2013, Comput. Oper. Res..

Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm

Kalyanmoy Deb, Bishakh Bhattacharya, Faez Ahmed, 2012, BIC-TA.

Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm

Kalyanmoy Deb, Kaisa Miettinen, Karthik Sindhya, 2011, Natural Computing.

Multiobjective Problem Solving from Nature: From Concepts to Applications

Kalyanmoy Deb, David Corne, Joshua D. Knowles, 2008, Natural Computing Series.

A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2017, EMO.

Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective

Kalyanmoy Deb, Dhish Kumar Saxena, K. Deb, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Evolutionary Constrained Optimization

Kalyanmoy Deb, Rituparna Datta, 2014 .

Time Scheduling of Transit Systems With Transfer Considerations Using Genetic Algorithms

Kalyanmoy Deb, Partha Chakroborty, K. Deb, 1998, Evolutionary Computation.

Future Challenges

Kalyanmoy Deb, Kaisa Miettinen, Wlodzimierz Ogryczak, 2008, Multiobjective Optimization.

Car Suspension Design for Comfort Using Genetic Algorithm

Kalyanmoy Deb, Vikas Saxena, K. Deb, 1997, ICGA.

Multi-Objective Optimization of Surface Grinding Process Using NSGA II

Kalyanmoy Deb, Shyam P. Kodali, Rajesh Kudikala, 2008, 2008 First International Conference on Emerging Trends in Engineering and Technology.

Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem

Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, 2002, PPSN.

An Improved Initial Population Strategy for Compliant Mechanism Designs Using Evolutionary Optimization

Kalyanmoy Deb, Deepak Sharma, N. N. Kishore, 2008, DAC 2008.

Towards estimating nadir objective vector using evolutionary approaches

Kalyanmoy Deb, Kaisa Miettinen, Shamik Chaudhuri, 2006, GECCO.

Analyzing Deception in Trap Functions

Kalyanmoy Deb, David E. Goldberg, D. Goldberg, 1992, FOGA.

Cricket Team Selection Using Evolutionary Multi-objective Optimization

Kalyanmoy Deb, Abhilash Jindal, Faez Ahmed, 2011, SEMCCO.

Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm

Kalyanmoy Deb, Abbadi Raji Reddy, 2003, Artificial Evolution.

Quantitative modeling of customer perception from service data using evolutionary optimization

Kalyanmoy Deb, Vineet R. Khare, Sunith Bandaru, 2011, GECCO '11.

An Improved Adaptive Approach for Elitist Nondominated Sorting Genetic Algorithm for Many-Objective Optimization

Kalyanmoy Deb, Himanshu Jain, 2013, EMO.

Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms

Kalyanmoy Deb, Naveen Kumar Gupta, 2004, GECCO.

Genetic Algorithms, Noise, and the Sizing of Populations

Kalyanmoy Deb, David E. Goldberg, James H. Clark, 1992, Complex Syst..

An ideal evolutionary multi-objective optimization procedure

Kalyanmoy Deb, K. Deb, 2004 .

Recommendation system for software refactoring using innovization and interactive dynamic optimization

Mohamed Wiem Mkaouer, Kalyanmoy Deb, Marouane Kessentini, 2014, ASE.

Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions

Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra, 2003, EMO.

Improving Factory Productivity and Energy Efficiency Through Holistic Simulation Optimisation

Kalyanmoy Deb, Amos H. C. Ng, Mats Jägstam, 2011 .

Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sorting

Kalyanmoy Deb, Eric Torng, Bundit Laekhanukit, 2020, GECCO Companion.

On Handling a Large Number of Objectives A Posteriori and During Optimization

Kalyanmoy Deb, Dhish Kumar Saxena, Eckart Zitzler, 2008, Multiobjective Problem Solving from Nature.

Introduction: Problem Solving, EC and EMO

Kalyanmoy Deb, Joshua D. Knowles, David Corne, 2008, Multiobjective Problem Solving from Nature.

Multi-objective Optimization

Kalyanmoy Deb, K. Deb, 2014 .

Towards sustainable forest management strategies with MOEAs

Kalyanmoy Deb, Julian Blank, Pekka Malo, 2020, GECCO.

Associated and Assorted Recombination in SBX Operator for Problems with Linkages

Kalyanmoy Deb, Arnav Acharyya, 2012, SEMCCO.

A Computational Method for Viewing Molecular Interactions in Docking

Kalyanmoy Deb, Bhaskar Dasgupta, Vipin K. Tripathi, 2006, VIEW.

Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization

Kalyanmoy Deb, Rahul Tewari, Joydeep Dutta, 2007, 2007 IEEE Congress on Evolutionary Computation.

Simultaneous topology, shape and size optimization of truss structures by fully stressed design based on evolution strategy

Kalyanmoy Deb, Ali Ahrari, Ali Asghar Atai, 2015 .

Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization

Kalyanmoy Deb, Haitham Seada, Sunith Bandaru, 2019, EMO.

Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems

Kalyanmoy Deb, Sunith Bandaru, 2011, EMO.

Identifying the Pareto-Optimal Solutions for Multi-point Distance Minimization Problem in Manhattan Space

Kalyanmoy Deb, Abhinav Gaur, Justin Xu, 2015 .

R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points

Xin Yao, Kalyanmoy Deb, Ke Li, 2018, IEEE Transactions on Evolutionary Computation.

Constraint handling in efficient global optimization

Kalyanmoy Deb, Jürgen Branke, Jonathan E. Fieldsend, 2017, GECCO.

Multi-objective Evolutionary Algorithms for Resource Allocation Problems

Kalyanmoy Deb, Carlos M. Fonseca, Dilip Datta, 2007, EMO.

Meta-modeling and Optimization for Varying Dimensional Search Space

Kalyanmoy Deb, Akshay Chawla, Soumil Srivastava, 2013, SEMCCO.

Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms

Kalyanmoy Deb, Lei Chen, Erik D. Goodman, 2017, IEEE Transactions on Evolutionary Computation.

A Population-Based, Parent Centric Procedure for Constrained Real-Parameter Optimization

Aravind Srinivasan, Kalyanmoy Deb, Ankur Sinha, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Approximate KKT points and a proximity measure for termination

Kalyanmoy Deb, Joydeep Dutta, Rupesh Tulshyan, 2013, J. Glob. Optim..

Machine learning based decision support for many-objective optimization problems

Qingfu Zhang, Kalyanmoy Deb, Dhish Kumar Saxena, 2014, Neurocomputing.

Multi–objective Evolutionary Algorithms for the Risk–return Trade–off in Bank Loan Management

Amitabha Mukerjee, Kalyanmoy Deb, Rita Biswas, 2002 .

AMGA2: improving the performance of the archive-based micro-genetic algorithm for multi-objective optimization

Kalyanmoy Deb, Georges M. Fadel, Santosh Tiwari, 2011 .

Towards a Better Balance of Diversity and Convergence in NSGA-III: First Results

Kalyanmoy Deb, Mohamed Abouhawwash, Haitham Seada, 2017, EMO.

Archiving With Guaranteed Convergence And Diversity In Multi-objective Optimization

Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, 2002, GECCO.

Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search

Kalyanmoy Deb, Kaisa Miettinen, K. Deb, 2010, MCDM.

Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications

Xiaodong Li, Kalyanmoy Deb, Michael G. Epitropakis, 2017, IEEE Transactions on Evolutionary Computation.

Evaluation of the migrated solutions for distributing reference point-based multi-objective optimization algorithms

Kalyanmoy Deb, Asim Egemen Yilmaz, Okkes Tolga Altinöz, 2018, Inf. Sci..

A Tutorial on Evolutionary Multi-Objective Optimization (EMO)

Kalyanmoy Deb, K. Deb, 2005, Practical Approaches to Multi-Objective Optimization.

Evolutionary bilevel optimization

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2013, GECCO '13 Companion.

A flexible optimization procedure for mechanical component design based on genetic adaptive search

Kalyanmoy Deb, Mayank Goyal, K. Deb, 1998 .

Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization

Kalyanmoy Deb, Proteek Chandan Roy, Rayan Hussein, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Two Approaches for Single and Multi-Objective Dynamic Optimization

Kalyanmoy Deb, 2013, Metaheuristics for Dynamic Optimization.

In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm

Kalyanmoy Deb, Anurag Bhatt, Pratul Varshney, 2008, GECCO '08.

Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence

Kalyanmoy Deb, Amos H. C. Ng, Henrik Boström, 2013, LION.

Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization

Kalyanmoy Deb, Abhinav Gaur, Vineet R. Khare, 2015, Appl. Soft Comput..

Comparison of Multiobjective Evolutionary Algorithms on Test Functions of Different Difficulty

Lothar Thiele, Kalyanmoy Deb, Eckart Zitzler, 1999 .

Innovization: innovating design principles through optimization

Aravind Srinivasan, Kalyanmoy Deb, K. Deb, 2006, GECCO.

CHIP: Constraint Handling with Individual Penalty approach using a hybrid evolutionary algorithm

Kalyanmoy Deb, Rituparna Datta, Jong-Hwan Kim, 2019, Neural Computing and Applications.

An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach

Kalyanmoy Deb, Himanshu Jain, K. Deb, 2014, IEEE Transactions on Evolutionary Computation.

Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications

Kalyanmoy Deb, Rituparna Datta, Michael S. Bittermann, 2012, 2012 IEEE Congress on Evolutionary Computation.

Trust-Region Based Multi-objective Optimization for Low Budget Scenarios

Kalyanmoy Deb, Julian Blank, Proteek Chandan Roy, 2019, EMO.

Evolutionary bilevel optimization (EBO)

Kalyanmoy Deb, Ankur Sinha, 2014, GECCO.

Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale

Kalyanmoy Deb, David E. Goldberg, Bradley Korb, 1990, Complex Syst..

Analysing mutation schemes for real-parameter genetic algorithms

Kalyanmoy Deb, Debayan Deb, K. Deb, 2014, Int. J. Artif. Intell. Soft Comput..

09041 Summary - Hybrid and Robust Approaches to Multiobjective Optimization

Kalyanmoy Deb, Kaisa Miettinen, Eckart Zitzler, 2009, Hybrid and Robust Approaches to Multiobjective Optimization.

Modified SBX and adaptive mutation for real world single objective optimization

Kalyanmoy Deb, Sunith Bandaru, Rupesh Tulshyan, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2011, EMO.

Non-uniform mapping in real-coded genetic algorithms

Kalyanmoy Deb, Sunith Bandaru, Yashesh D. Dhebar, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Selected Aspects of Natural Computing

Xin Yao, Kalyanmoy Deb, David W. Corne, 2012, Handbook of Natural Computing.

Simulation-Based Innovization Using Data Mining for Production Systems Analysis

Kalyanmoy Deb, Amos H. C. Ng, Catarina Dudas, 2011, Multi-objective Evolutionary Optimisation for Product Design and Manufacturing.

Innovization: Discovery of Innovative Solution Principles Using Multi-Objective Optimization

Kalyanmoy Deb, 2013, EMO.

High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III

Mohamed Wiem Mkaouer, Kalyanmoy Deb, Marouane Kessentini, 2014, GECCO.

Multiobjective Problem Solving from Nature: From Concepts to Applications (Natural Computing Series)

Kalyanmoy Deb, David Corne, Joshua Knowles, 2008 .

Constrained Multi-objective Evolutionary Algorithm

Kalyanmoy Deb, K. Deb, 2018, Studies in Computational Intelligence.

Parallelization of binary and real-coded genetic algorithms on GPU using CUDA

Kalyanmoy Deb, Rupesh Tulshyan, Ramnik Arora, 2010, IEEE Congress on Evolutionary Computation.

Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2012, 2012 IEEE Congress on Evolutionary Computation.

Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme

Shahryar Rahnamayan, Kalyanmoy Deb, A. K. M. Khaled Ahsan Talukder, 2016, GECCO.

A multi-objective evolutionary approach for generator scheduling

Anil Pahwa, Kalyanmoy Deb, Dapeng Li, 2013, Expert Syst. Appl..

SINGLE AND MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONARY COMPUTATION

Kalyanmoy Deb, K. Deb, 2004 .

Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm

Kalyanmoy Deb, Koushik Pal, 2004, GECCO.

Individual penalty based constraint handling using a hybrid bi-objective and penalty function approach

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2013, 2013 IEEE Congress on Evolutionary Computation.

GECCO 2012 tutorial on evolutionary multiobjective optimization

Kalyanmoy Deb, Dimo Brockhoff, K. Deb, 2012, GECCO '12.

Software refactoring under uncertainty: a robust multi-objective approach

Mohamed Wiem Mkaouer, Kalyanmoy Deb, Marouane Kessentini, 2014, GECCO.

Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence

Kalyanmoy Deb, Tushar Goel, K. Deb, 2001, EMO.

Robust and Reliable Solutions in Bilevel Optimization Problems Under Uncertainties

Kalyanmoy Deb, Zhichao Lu, Ankur Sinha, 2016 .

AMGA: an archive-based micro genetic algorithm for multi-objective optimization

Kalyanmoy Deb, Santosh Tiwari, Patrick Koch, 2008, GECCO '08.

Dynamic multiobjective optimization problems: test cases, approximations, and applications

Kalyanmoy Deb, Marco Farina, Paolo Amato, 2004, IEEE Transactions on Evolutionary Computation.

Evolutionary algorithms in large-scale open pit mine scheduling

Kalyanmoy Deb, Christie Myburgh, 2010, GECCO '10.

Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms

Kalyanmoy Deb, Faez Ahmed, K. Deb, 2013, Soft Comput..

An integrated approach involving EMO and HYDRUS-2D software for SWRT-based precision irrigation

Kalyanmoy Deb, Berna Kiraz, Cem Celal Tutum, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A Concurrent Hybrid Algorithm for Improving Convergence of EMO with Local Search

Kalyanmoy Deb, Kaisa Miettinen, Karthik Sindhya, 2009 .

Practical Approaches to Multi-Objective Optimization

Kalyanmoy Deb, Jürgen Branke, Kaisa Miettinen, 2005 .

Higher and lower-level knowledge discovery from Pareto-optimal sets

Kalyanmoy Deb, Sunith Bandaru, K. Deb, 2013, J. Glob. Optim..

Domain-specific initial population strategy for compliant mechanisms using customized genetic algorithm

Kalyanmoy Deb, Deepak Sharma, N. N. Kishore, 2011 .

3D-RadVis Antenna: Visualization and performance measure for many-objective optimization

Shahryar Rahnamayan, Kalyanmoy Deb, Miguel Vargas Martin, 2017, Swarm Evol. Comput..

Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation

Kishalay Mitra, Kalyanmoy Deb, Rinku Dewri, 2004, GECCO.

Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2018, J. Syst. Inf. Technol..

Towards a Link between Knee Solutions and Preferred Solution Methodologies

Kalyanmoy Deb, Shivam Gupta, K. Deb, 2010, SEMCCO.

An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization

Kalyanmoy Deb, Mohamed Abouhawwash, Joydeep Dutta, 2015, EMO.

A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II

Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, 2000, PPSN.

Model-Based Object Recognition from a Complex Binary Imagery Using Genetic Algorithm

Kalyanmoy Deb, Samarjit Chakraborty, Sudipta Dey, 1999, EvoWorkshops.

A Comparative Analysis of Selection Schemes Used in Genetic Algorithms

Kalyanmoy Deb, David E. Goldberg, D. Goldberg, 1990, FOGA.

Investigating the equivalence between PBI and AASF scalarization for multi-objective optimization

Kalyanmoy Deb, Hemant Kumar Singh, K. Deb, 2020, Swarm Evol. Comput..

A population-based, steady-state procedure for real-parameter optimization

Kalyanmoy Deb, Ankur Sinha, Santosh Tiwari, 2005, 2005 IEEE Congress on Evolutionary Computation.

Constrained Test Problems for Multi-objective Evolutionary Optimization

Kalyanmoy Deb, Amrit Pratap, T. Meyarivan, 2001, EMO.

Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions

Kalyanmoy Deb, Zhichao Lu, Ankur Sinha, 2018, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Multi-objective optimization of cellular scanning strategy in selective laser melting

Kalyanmoy Deb, Ali Ahrari, Jesper Henri Hattel, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-Objective Evolutionary Procedure

Kalyanmoy Deb, Shamik Chaudhuri, Abbadi Raji Reddy, 2007, Analysis of Biological Data: A Soft Computing Approach.

Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties

Kalyanmoy Deb, Zhichao Lu, Ankur Sinha, 2016, GECCO.

Enhancing clearing-based niching method using Delaunay Triangulation

Shahryar Rahnamayan, Kalyanmoy Deb, Shivam Kalra, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Computationally effective search and optimization procedure using coarse to fine approximations

Kalyanmoy Deb, Pawan K. S. Nain, P. K. S. Nain, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization

Kalyanmoy Deb, Rayan Hussein, K. Deb, 2016, GECCO.

Evolutionary multiobjective optimization

Kalyanmoy Deb, Eckart Zitzler, E. Zitzler, 2007, GECCO '07.

Approximated set-valued mapping approach for handling multiobjective bilevel problems

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2017, Comput. Oper. Res..

Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions

Kalyanmoy Deb, Jyrki Wallenius, Ankur Sinha, 2010, IEEE Congress on Evolutionary Computation.

Late parallelization and feedback approaches for distributed computation of evolutionary multi-objective optimization algorithms

Kalyanmoy Deb, Okkes Tolga Altinöz, 2015, 2015 Second International Conference on Soft Computing and Machine Intelligence (ISCMI).

On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods

Kalyanmoy Deb, Pradyumn Kumar Shukla, K. Deb, 2007, Eur. J. Oper. Res..

Gap finding and validation in evolutionary multi- and many-objective optimization

Kalyanmoy Deb, Pablo Valledor Pellicer, Miguel Iglesias Escudero, 2020, GECCO.

Optimal turning gait of a six-legged robot using a GA-fuzzy approach

Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh, 2000, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Simulated Binary Crossover for Continuous Search Space

Kalyanmoy Deb, Ram Bhushan Agrawal, K. Deb, 1995, Complex Syst..

Sensor network design of linear processes using genetic algorithms

Kalyanmoy Deb, Shankar Narasimhan, Sujoy Sen, 1998 .

An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition

Qingfu Zhang, Kalyanmoy Deb, Sam Kwong, 2015, IEEE Transactions on Evolutionary Computation.

Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms

Kalyanmoy Deb, Rupesh Kumar Srivastava, R. Srivastava, 2010, SEAL.

Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2016, EvoApplications.

Advances in Evolutionary Multi-objective Optimization

Kalyanmoy Deb, K. Deb, 2012, SSBSE.

A review of hybrid evolutionary multiple criteria decision making methods

Kalyanmoy Deb, Sanaz Mostaghim, Robin C. Purshouse, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

09041 Abstracts Collection - Hybrid and Robust Approaches to Multiobjective Optimization

Kalyanmoy Deb, Kaisa Miettinen, Eckart Zitzler, 2009, Hybrid and Robust Approaches to Multiobjective Optimization.

EliteNSGA-III: An improved evolutionary many-objective optimization algorithm

Shahryar Rahnamayan, Kalyanmoy Deb, Miguel Vargas Martin, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Multi-Class Protein Fold Recognition Using Multi-Objective Evolutionary Algorithms

Kalyanmoy Deb, Ponnuthurai Nagaratnam Suganthan, Stanley Y. M. Shi, 2004 .

Study of the approximation of the fitness landscape and the ranking process of scalarizing functions for many-objective problems

Kalyanmoy Deb, Gregorio Toscano, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Solving optimistic bilevel programs by iteratively approximating lower level optimal value function

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Higher-level innovization: A case study from Friction Stir Welding process optimization

Kalyanmoy Deb, Cem Celal Tutum, Sunith Bandaru, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem

Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography

Kalyanmoy Deb, Prabhat Munshi, Sunith Bandaru, 2009, ICANNGA.

Variable Interaction in Multi-objective Optimization Problems

Xin Yao, Kalyanmoy Deb, Ke Li, 2016, PPSN.

Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms

Kalyanmoy Deb, Shashi Mittal, K. Deb, 2007, 2007 IEEE Congress on Evolutionary Computation.

Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction

Kalyanmoy Deb, K. Deb, 2011, Multi-objective Evolutionary Optimisation for Product Design and Manufacturing.

Introduction to selection

Kalyanmoy Deb, K. Deb, 2000 .

I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods

Kalyanmoy Deb, Shamik Chaudhuri, K. Deb, 2007, EMO.

Multi-objective optimization using evolutionary algorithms

Kalyanmoy Deb, K. Deb, 2001, Wiley-Interscience series in systems and optimization.

Comparison of Multiobjective Evolutionary Algorithms: Empirical Results

Lothar Thiele, Kalyanmoy Deb, Eckart Zitzler, 2000, Evolutionary Computation.

Network path optimization under dynamic conditions

Kalyanmoy Deb, Yaser Ali Enaya, K. Deb, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design

Kalyanmoy Deb, Tushar Goel, K. Deb, 2001, EMO.

A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2017, IEEE Transactions on Evolutionary Computation.

Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization

Kalyanmoy Deb, Ling Zhu, Sandeep Kulkarni, 2018, IEEE Transactions on Evolutionary Computation.

Analysis and multi-objective optimization of a kind of teaching manipulator

Kalyanmoy Deb, Erik D. Goodman, Xinye Cai, 2019, Swarm Evol. Comput..

Discovering Design Principles for Soft Multi-objective Decision Making

Kalyanmoy Deb, Sunith Bandaru, Bittermann, 2011 .

An improved fully stressed design evolution strategy for layout optimization of truss structures

Kalyanmoy Deb, Ali Ahrari, K. Deb, 2016 .

MOMM: Multi-objective model merging

Kalyanmoy Deb, Marouane Kessentini, Manuel Wimmer, 2015, J. Syst. Softw..

A classical-cum-Evolutionary Multi-objective optimization for optimal machining parameters

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Bilevel Optimization Based on Kriging Approximations of Lower Level Optimal Value Function

Kalyanmoy Deb, Ankur Sinha, Samish Bedi, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Test-case generator for nonlinear continuous parameter optimization techniques

Zbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt, 2000, IEEE Trans. Evol. Comput..

Reliability-based optimization for multiple constraints with evolutionary algorithms

Kalyanmoy Deb, Jürgen Branke, David A. Daum, 2007, 2007 IEEE Congress on Evolutionary Computation.

Unconstrained scalable test problems for single-objective bilevel optimization

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2012, 2012 IEEE Congress on Evolutionary Computation.

Guest Editorial Special Issue on Search-Based Software Engineering

Kalyanmoy Deb, Marouane Kessentini, Federica Sarro, 2018, IEEE Trans. Evol. Comput..

A parametric investigation of PBI and AASF scalarizations

Kalyanmoy Deb, Hemant K. Singh, 2019, GECCO.

Extracting from the relaxed for large-scale semi-continuous variable nondominated frontiers

Kalyanmoy Deb, Ralph E. Steuer, Markus Hirschberger, 2016, J. Glob. Optim..

Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms

Kalyanmoy Deb, Abhinav Gaur, 2016, GECCO.

Handling inverse optimal control problems using evolutionary bilevel optimization

Kalyanmoy Deb, Varun Suryan, Ankur Sinha, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Adaptive Guided Evolutionary Multi-Objective Optimization

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2013 .

Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms

Qingfu Zhang, Kalyanmoy Deb, Ashutosh Tiwari, 2013, IEEE Transactions on Evolutionary Computation.

Code-Smells Detection using Good and Bad Software Design Examples

Kalyanmoy Deb, Marouane Kessentini, Slim Bechikh, 2013 .

MULTI-OBJECTIVE FUNCTION OPTIMIZATION USING NON-DOMINATED SORTING GENETIC ALGORITHMS

Kalyanmoy Deb, N Srinivas, K. Deb, 1994 .

Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding

Kalyanmoy Deb, Dhish Kumar Saxena, K. Deb, 2007, EMO.

Optimizing Engineering Designs Using a Combined Genetic Search

Kalyanmoy Deb, Mayank Goyal, K. Deb, 1997, ICGA.

Discrete Time-Cost Tradeoff with a Novel Hybrid Meta-Heuristic

Kalyanmoy Deb, Sanjay Srivastava, Kamal Srivastava, 2008, MCDM.

Design of optimum cross-sections for load-carrying members using multi-objective evolutionary algorithms

Kalyanmoy Deb, Dilip Datta, K. Deb, 2005 .

Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications

Kalyanmoy Deb, Marco Farina, Paolo Amato, 2003, EMO.

Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization

Kalyanmoy Deb, Betty H. C. Cheng, Chad M. Byers, 2015, EMO.

Evaluating the -Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions

Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra, 2005, Evolutionary Computation.

Towards optimal ship design and valuable knowledge discovery under uncertain conditions

Kalyanmoy Deb, Zhichao Lu, Cherie Courseault Trumbach, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Investigating the Normalization Procedure of NSGA-III

Kalyanmoy Deb, Julian Blank, Proteek Chandan Roy, 2019, EMO.

Using objective reduction and interactive procedure to handle many-objective optimization problems

Kalyanmoy Deb, Ashutosh Tiwari, Dhish Kumar Saxena, 2013, Appl. Soft Comput..

Towards generating diverse topologies of path tracing compliant mechanisms using a local search based multi-objective genetic algorithm procedure

Kalyanmoy Deb, Deepak Sharma, N. N. Kishore, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Practical Approaches to Multi-Objective Optimization, 7.-12. November 2004

Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer, 2005, Practical Approaches to Multi-Objective Optimization.

Trading on infeasibility by exploiting constraint’s criticality through multi-objectivization: A system design perspective

Kalyanmoy Deb, Dhish Kumar Saxena, K. Deb, 2007, 2007 IEEE Congress on Evolutionary Computation.

Evolutionary multiobjective optimization

Kalyanmoy Deb, Eckart Zitzler, E. Zitzler, 2008, GECCO '08.

Encoding and decoding functions

Kalyanmoy Deb, K. Deb, 2000 .

Analytic Curve Detection from a Noisy Binary Edge Map Using Genetic Algorithm

Kalyanmoy Deb, Samarjit Chakraborty, K. Deb, 1998, PPSN.

Faster Hypervolume-Based Search Using Monte Carlo Sampling

Kalyanmoy Deb, Eckart Zitzler, Johannes Bader, 2008, MCDM.

Customized evolutionary optimization procedure for generating minimum weight compliant mechanisms

Kalyanmoy Deb, Deepak Sharma, N. N. Kishore, 2014 .

A fast and elitist multiobjective genetic algorithm: NSGA-II

Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, 2002, IEEE Trans. Evol. Comput..

Solving clustering problems using bi-objective evolutionary optimisation and knee finding algorithms

Kalyanmoy Deb, Gustavo Recio, 2013, 2013 IEEE Congress on Evolutionary Computation.

A Novel Pareto-VIKOR Index for Ranking Scientists’ Publication Impacts: A Case Study on Evolutionary Computation Researchers

Shahryar Rahnamayan, Kalyanmoy Deb, Azam Asilian Bidgoli, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Omni-optimizer: A Procedure for Single and Multi-objective Optimization

Kalyanmoy Deb, Santosh Tiwari, K. Deb, 2005, EMO.

Evolutionary Constrained Optimization: A Hybrid Approach

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2015 .

Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems

Kalyanmoy Deb, Kaisa Miettinen, Ankur Sinha, 2009, 2009 IEEE Congress on Evolutionary Computation.

Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties

Qingfu Zhang, Kalyanmoy Deb, Lei Chen, 2019, Swarm Evol. Comput..

Reference point-based evolutionary multi-objective optimization for industrial systems simulation

Kalyanmoy Deb, Amos H. C. Ng, Jacob Bernedixen, 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

Effect of size and order of variables in rules for multi-objective repair-based innovization procedure

Kalyanmoy Deb, Abhinav Gaur, K. Deb, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Improving Differential Evolution by Altering Steps in EC

Kalyanmoy Deb, Nikhil Padhye, Piyush Bhardawaj, 2010, SEAL.

Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data

Kalyanmoy Deb, Prabhat Munshi, Shyam P. Kodali, 2009, 2009 IEEE Congress on Evolutionary Computation.

Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results

Kalyanmoy Deb, Proteek Chandan Roy, Rayan Hussein, 2017, EMO.

Learning to Avoid Moving Obstacles Optimally for Mobile Robots Using a Genetic-Fuzzy Approach

Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh, 1998, PPSN.

Evolutionary practical optimization

Kalyanmoy Deb, K. Deb, 2007, GECCO '07.

An evolutionary many-objective optimisation algorithm with adaptive region decomposition

Qingfu Zhang, Kalyanmoy Deb, Lei Chen, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A dual-population paradigm for evolutionary multiobjective optimization

Kalyanmoy Deb, Sam Kwong, Ke Li, 2015, Inf. Sci..

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search pdf

Kalyanmoy Deb, Zhichao Lu, Vishnu Naresh Boddeti, 2018, ArXiv.

An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones

Kalyanmoy Deb, Jyrki Wallenius, Ankur Sinha, 2010, LION.

Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method

Kalyanmoy Deb, Pradyumn Kumar Shukla, Santosh Tiwari, 2005, EMO.

Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure

Kalyanmoy Deb, Ralph E. Steuer, Rahul Tewari, 2011, EMO.

The sequential optimization-constraint multi-objective problem and its applications for robust planning of robot paths

Kalyanmoy Deb, Gideon Avigad, 2007, 2007 IEEE Congress on Evolutionary Computation.

Selection of optimal collision avoidance manoeuvre strategy by single and multi-objective evolutionary algorithms

Kalyanmoy Deb, V. Adimurthy, Himanshu Gupta, 2004 .

Improving differential evolution through a unified approach

Kalyanmoy Deb, Nikhil Padhye, Piyush Bhardawaj, 2013, J. Glob. Optim..

Optimal Design of a Class of Welded Structures via Genetic Algorithms

Kalyanmoy Deb, K. Deb, 1990 .

Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms

Kalyanmoy Deb, Ankur Sinha, 2009, EMO.

Multi-Objective Evolutionary Algorithms

Kalyanmoy Deb, K. Deb, 2015, Handbook of Computational Intelligence.

Fundamental Concepts of Evolutionary Computation

Zbigniew Michalewicz, Günter Rudolph, Kalyanmoy Deb, 1997 .

Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches

Kalyanmoy Deb, Kaisa Miettinen, Shamik Chaudhuri, 2010, IEEE Transactions on Evolutionary Computation.

A computationally fast multimodal optimization with push enabled genetic algorithm

Kalyanmoy Deb, Yashesh D. Dhebar, 2017, GECCO.

Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications

Kalyanmoy Deb, Amos H. C. Ng, Sunith Bandaru, 2017, Expert Syst. Appl..

Evolutionary multi-criterion optimization

Kalyanmoy Deb, K. Deb, 2010, GECCO '10.

High dimensional model representation for solving expensive multi-objective optimization problems

Kalyanmoy Deb, Proteek Chandan Roy, K. Deb, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Ergonomic Design of an Optimal Hindi Keyboard for Convenient Use

Kalyanmoy Deb, Priyendra S. Deshwal, 2006, 2006 IEEE International Conference on Evolutionary Computation.

An interactive evolutionary multi-objective optimization and decision making procedure

Kalyanmoy Deb, Shamik Chaudhuri, K. Deb, 2010, Appl. Soft Comput..

An EA-based approach to design optimization using evidence theory

Kalyanmoy Deb, Rupesh Kumar Srivastava, R. Srivastava, 2011, GECCO '11.

Multi-objective evolutionary algorithms: introducing bias among Pareto-optimal solutions

Kalyanmoy Deb, K. Deb, 2003 .

Bilevel optimization based on iterative approximation of multiple mappings

Kalyanmoy Deb, Zhichao Lu, Ankur Sinha, 2020, J. Heuristics.

Evolutionary Bilevel Optimization: An Introduction and Recent Advances

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2017, Recent Advances in Evolutionary Multi-objective Optimization.

A derived heuristics based multi-objective optimization procedure for micro-grid scheduling

Kalyanmoy Deb, Xin Li, Yanjun Fang, 2017 .

Differential evolution: Performances and analyses

Kalyanmoy Deb, Nikhil Padhye, Pulkit Mittal, 2013, 2013 IEEE Congress on Evolutionary Computation.

Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems

Qingfu Zhang, Kalyanmoy Deb, Lei Chen, 2018, IEEE Transactions on Evolutionary Computation.

A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point

Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma, 2009, EMO.

Using semi-independent variables to enhance optimization search

Shahryar Rahnamayan, Kalyanmoy Deb, Amir H. Gandomi, 2019, Expert Syst. Appl..

Visualizing multi-dimensional pareto-optimal fronts with a 3D virtual reality system

Kalyanmoy Deb, Henri Ruotsalainen, Elina Madetoja, 2008, 2008 International Multiconference on Computer Science and Information Technology.

Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems

Kalyanmoy Deb, Deepak Sharma, Karthik Sindhya, 2007, 2007 IEEE Congress on Evolutionary Computation.

Multi-objective Performance Optimization of Thermo-Electric Coolers Using Dimensional Structural Parameters

Kalyanmoy Deb, S. Sharma, P. K. S. Nain, 2010, SEMCCO.

Integrating User Preferences into Evolutionary Multi-Objective Optimization

Kalyanmoy Deb, Jiirgen Branke, K. Deb, 2005 .

An Efficient Nondominated Sorting Algorithm for Large Number of Fronts

Kalyanmoy Deb, Md. Monirul Islam, Proteek Chandan Roy, 2019, IEEE Transactions on Cybernetics.

Don't Worry, Be Messy

Kalyanmoy Deb, David E. Goldberg, Bradley Korb, 1991, ICGA.

Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms

Kalyanmoy Deb, Yashesh D. Dhebar, K. Deb, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization

Shahryar Rahnamayan, Kalyanmoy Deb, Miguel Vargas Martin, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography

Kalyanmoy Deb, Prabhat Munshi, Sunith Bandaru, 2008, GECCO '08.

A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results

Kalyanmoy Deb, Cem Celal Tutum, K. Deb, 2015, EMO.

Towards an epigenetics-inspired control system for power dispatch problem

Kalyanmoy Deb, Erik D. Goodman, Daniel J. Couvertier, 2017, GECCO.

Meaningful representation and recombination of variable length genomes

Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill, 2012, GECCO '12.

Towards Understanding Evolutionary Bilevel Multi-Objective Optimization Algorithm

Kalyanmoy Deb, Ankur Sinha, K. Deb, 2009 .

Simulation-based Innovization for production systems improvement : An industrial case study

Kalyanmoy Deb, Amos H. C. Ng, Catarina Dudas, 2009 .

A survey of evolutionary algorithms using metameric representations

Kalyanmoy Deb, Erik Goodman, Ron Averill, 2019, Genetic Programming and Evolvable Machines.

Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization

Kalyanmoy Deb, Sunith Bandaru, K. Deb, 2015, EMO.

09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round)

Nirupam Chakraborti, Nicola Beume, Kalyanmoy Deb, 2009, Hybrid and Robust Approaches to Multiobjective Optimization.

An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2012, 2012 IEEE Congress on Evolutionary Computation.

Special Session on Real-Parameter Optimization at CEC 05

Kalyanmoy Deb, Ponnuthurai Nagaratnam Suganthan, 2005 .

Many-Objective Software Remodularization Using NSGA-III

Adnan Shaout, Mohamed Wiem Mkaouer, Kalyanmoy Deb, 2015, TSEM.

Boundary Handling Approaches in Particle Swarm Optimization

Kalyanmoy Deb, Nikhil Padhye, Pulkit Mittal, 2012, BIC-TA.

Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives

Kalyanmoy Deb, Shashi Mittal, 2009, IEEE Trans. Evol. Comput..

An improved bilevel evolutionary algorithm based on Quadratic Approximations

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Preference-based evolutionary algorithm for many objective optimization problems

Kalyanmoy Deb, Pekka Korhonen, Jyrki Wallenius, 2012 .

Interactive evolutionary multi-objective optimization and decision-making using reference direction method

Kalyanmoy Deb, Abhishek Kumar, K. Deb, 2007, GECCO '07.

A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms

Kalyanmoy Deb, Samir Agrawal, K. Deb, 1999, ICANNGA.

Towards an automated innovization method for handling discrete search spaces

Kalyanmoy Deb, Abhinav Gaur, K. Deb, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Structural topology optimization using multi-objective genetic algorithm with constructive solid geometry representation

Kalyanmoy Deb, Bishakh Bhattacharya, Faez Ahmed, 2016, Appl. Soft Comput..

Key challenges and future directions of dynamic multi-objective optimisation

Andries Petrus Engelbrecht, Kalyanmoy Deb, Mardé Helbig, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

On Properly Pareto Optimal Solutions

Kalyanmoy Deb, Pradyumn Kumar Shukla, Joydeep Dutta, 2005, Practical Approaches to Multi-Objective Optimization.

A smooth proximity measure for optimality in multi-objective optimization using Benson's method

Kalyanmoy Deb, Mohamed Abouhawwash, Mohammed Jameel, 2020, Comput. Oper. Res..

Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms

Kalyanmoy Deb, Zhichao Lu, Hemant K. Singh, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms

Kalyanmoy Deb, Abbadi Raji Reddy, 2003, EMO.

On self-adaptive features in real-parameter evolutionary algorithms

Kalyanmoy Deb, Hans-Georg Beyer, K. Deb, 2001, IEEE Trans. Evol. Comput..

Stochastic Evolutionary Multiobjective Environmental/Economic Dispatch

Kalyanmoy Deb, Robert T. F. Ah King, Harry C. S. Rughooputh, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Automated Innovization for Simultaneous Discovery of Multiple Rules in Engineering Problems

Kalyanmoy Deb, Sunith Bandaru, 2010 .

A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm

Shahryar Rahnamayan, Kalyanmoy Deb, Sedigheh Mahdavi, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems

Kalyanmoy Deb, Saku Kukkonen, K. Deb, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Investigating EA solutions for approximate KKT conditions in smooth problems

Kalyanmoy Deb, Joydeep Dutta, Rupesh Tulshyan, 2010, GECCO '10.

Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspective

Kalyanmoy Deb, Julian Blank, A. K. M. Khaled Ahsan Talukder, 2018, GECCO.

Multi‐objective optimisation and multi‐criteria decision making in SLS using evolutionary approaches

Kalyanmoy Deb, Nikhil Padhye, K. Deb, 2011 .

An Optimality Theory-Based Proximity Measure for Set-Based Multiobjective Optimization

Kalyanmoy Deb, Mohamed Abouhawwash, K. Deb, 2016, IEEE Transactions on Evolutionary Computation.

Multi-view refactoring of class and activity diagrams using a multi-objective evolutionary algorithm

Kalyanmoy Deb, Marouane Kessentini, Manuel Wimmer, 2017, Software Quality Journal.

Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator pdf

Kalyanmoy Deb, Erik D. Goodman, Zhun Fan, 2018, ArXiv.

An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions

Kalyanmoy Deb, Jyrki Wallenius, Ankur Sinha, 2010, IEEE Transactions on Evolutionary Computation.

The Effect of Extreme Solutions Injection in Opposition-based Evolutionary Multi-objective Optimization COIN Report Number 2016010 AKM

Shahryar Rahnamayan, Kalyanmoy Deb, Khaled Ahsan Talukder, 2016 .

Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA

Kalyanmoy Deb, Amrit Pratap, Subrajyoti Moitra, 2000, PPSN.

Best Order Sort: A New Algorithm to Non-dominated Sorting for Evolutionary Multi-objective Optimization

Kalyanmoy Deb, Md. Monirul Islam, Proteek Chandan Roy, 2016, GECCO.

Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution

Kalyanmoy Deb, Cem Celal Tutum, Sunith Bandaru, 2012, PPSN.

Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2011, GECCO '11.

Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding

Kalyanmoy Deb, Cem Celal Tutum, Jesper Henri Hattel, 2010, SEAL.

MORE: A multi‐objective refactoring recommendation approach to introducing design patterns and fixing code smells

Katsuro Inoue, Kalyanmoy Deb, Houari A. Sahraoui, 2017, J. Softw. Evol. Process..

A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective Problems

Kalyanmoy Deb, Saku Kukkonen, K. Deb, 2006, PPSN.

A genetic fuzzy based modeling of effective thermal conductivity for polymer composites

Kalyanmoy Deb, Shubhabrata Datta, Juhani Orkas, 2013, J. Intell. Fuzzy Syst..

A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization

Kalyanmoy Deb, Rituparna Datta, Swanand Lele, 2007, ISICA.

Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization

Kalyanmoy Deb, Nikhil Padhye, Ganesh Neema, 2007, ISICA.

Parallelizing multi-objective evolutionary algorithms: cone separation

Kalyanmoy Deb, Jürgen Branke, Hartmut Schmeck, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Handling constraints in robust multi-objective optimization

Kalyanmoy Deb, Himanshu Gupta, K. Deb, 2005, 2005 IEEE Congress on Evolutionary Computation.

Nonlinear goal programming using multi-objective genetic algorithms

Kalyanmoy Deb, K. Deb, 2001, J. Oper. Res. Soc..

Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms

Kalyanmoy Deb, Subhas Ganguly, Shubhabrata Datta, 2012, Appl. Soft Comput..

Use of derived heuristics in improved performance of evolutionary optimization: An application to gold processing plant

Kalyanmoy Deb, Christie Myburgh, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Product Portfolio Selection of Designs Through an Analysis of Lower-Dimensional Manifolds and Identification of Common Properties

Amitabha Mukerjee, Kalyanmoy Deb, Madan Mohan Dabbeeru, 2011, Multi-objective Evolutionary Optimisation for Product Design and Manufacturing.

Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms

Xiaodong Li, Kalyanmoy Deb, Mohammad Nabi Omidvar, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Multi-objective code-smells detection using good and bad design examples

Kalyanmoy Deb, Marouane Kessentini, Bruce R. Maxim, 2016, Software Quality Journal.

Non-dominated Sorting Based Multi/Many-Objective Optimization: Two Decades of Research and Application

Kalyanmoy Deb, Haitham Seada, K. Deb, 2018, Multi-Objective Optimization.

A Genetic Algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization

Kalyanmoy Deb, Soumil Srivastava, K. Deb, 2010, SEMCCO.

Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

Lihui Wang, Kalyanmoy Deb, Amos H. C. Ng, 2011 .

Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms

Kalyanmoy Deb, N. Srinivas, K. Deb, 1994, Evolutionary Computation.

Multi-Criterion Optimization and Decision Making Using Evolutionary Computing

Kalyanmoy Deb, K. Deb, 2017 .

A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Kalyanmoy Deb, 2008, IEEE Transactions on Evolutionary Computation.

Comparison of multi-modal optimization algorithms based on evolutionary algorithms

Kalyanmoy Deb, Gulshan Singh, K. Deb, 2006, GECCO.

Method of flight planning for airborne LiDAR using genetic algorithms

Kalyanmoy Deb, Bharat Lohani, Ajay Dashora, 2014 .

A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Solving a supply-chain management problem using a bilevel approach

Kalyanmoy Deb, Zhichao Lu, Erik D. Goodman, 2017, GECCO.

A comparative study of dynamic resampling strategies for guided Evolutionary Multi-objective Optimization

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2013, 2013 IEEE Congress on Evolutionary Computation.

Unveiling innovative design principles by means of multiple conflicting objectives

Kalyanmoy Deb, K. Deb, 2003 .

Evolutionary practical optimization

Kalyanmoy Deb, 2007, GECCO.

A Hybrid Framework with Enhanced Convergence and Diversity Preservation for Evolutionary Multiobjective Optimization

Kalyanmoy Deb, Kaisa Miettinen, Karthik Sindhya, 2011 .

Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization pdf

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2013, ArXiv.

Fusion-based hybrid many-objective optimization algorithm

Shahryar Rahnamayan, Kalyanmoy Deb, Miguel Vargas Martin, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms

Kalyanmoy Deb, S. K. Jain, Sachin K. Jain, 2003 .

On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach

Mohamed Wiem Mkaouer, Kalyanmoy Deb, Marouane Kessentini, 2016, Empirical Software Engineering.

An Investigation of Niche and Species Formation in Genetic Function Optimization

Kalyanmoy Deb, David E. Goldberg, D. Goldberg, 1989, ICGA.

Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design

Kalyanmoy Deb, Sunith Bandaru, K. Deb, 2010, IEEE Congress on Evolutionary Computation.

Practical optimization using evolutionary methods

Kalyanmoy Deb, K. Deb, 2006 .

Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead

Kalyanmoy Deb, Peter C. Fishburn, Jyrki Wallenius, 2008, Manag. Sci..

On the convergence and diversity-preservation properties of multi-objective evolutionary algorithms

Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, 2001 .

Self-Adaptive Genetic Algorithms with Simulated Binary Crossover

Kalyanmoy Deb, Hans-Georg Beyer, K. Deb, 2001, Evolutionary Computation.

An Improved Concurrent-Hybrid Algorithm for Enhanced Diversity and Accuracy in Evolutionary Multi-Objective Optimization

Kalyanmoy Deb, Kaisa Miettinen, Karthic Sindhya, 2011 .

An introduction to genetic algorithms

Kalyanmoy Deb, K. Deb, 1999 .

Evolutionary multiobjective optimization with hybrid selection principles

Qingfu Zhang, Kalyanmoy Deb, Ke Li, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm

Qingfu Zhang, Kalyanmoy Deb, Hui Li, 2019, IEEE Transactions on Evolutionary Computation.

A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives

Kalyanmoy Deb, Haitham Seada, K. Deb, 2016, IEEE Transactions on Evolutionary Computation.

Reference point based multi-objective optimization using evolutionary algorithms

Kalyanmoy Deb, J. Sundar, K. Deb, 2006, GECCO.

Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems

Kalyanmoy Deb, Hui Li, K. Deb, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Dual Guidance in Evolutionary Multi-objective Optimization by Localization

Hussein A. Abbass, Kalyanmoy Deb, Daryl Essam, 2006, SEAL.

Integrating user preferences and decomposition methods for many-objective optimization

Xiaodong Li, Kalyanmoy Deb, Mohammad Nabi Omidvar, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Solving dual problems using a coevolutionary optimization algorithm

Kalyanmoy Deb, Shivam Gupta, Joydeep Dutta, 2013, J. Glob. Optim..

Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems

Kalyanmoy Deb, Santosh Tiwari, Patrick Koch, 2009, 2009 IEEE Congress on Evolutionary Computation.

Multimodal Deceptive Functions

Kalyanmoy Deb, David E. Goldberg, Jeffrey Horn, 1993, Complex Syst..

Scalable multi-objective optimization test problems

Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Limitations of evolutionary computation methods

Kalyanmoy Deb, K. Deb, 1997 .

Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm

Kalyanmoy Deb, Amit Saha, K. Deb, 2012, Evolutionary Computation.

Multi-Criteria Code Refactoring Using Search-Based Software Engineering

Katsuro Inoue, Kalyanmoy Deb, Houari A. Sahraoui, 2016, ACM Trans. Softw. Eng. Methodol..

A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization

Kalyanmoy Deb, Proteek Chandan Roy, Rayan Hussein, 2019, IEEE Transactions on Evolutionary Computation.

Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms

Kalyanmoy Deb, Shubhabrata Datta, Arup Kumar Nandi, 2012, Soft Comput..

On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms

Kalyanmoy Deb, Hans-Georg Beyer, K. Deb, 2000, PPSN.

Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2015, EMO.

Messy Genetic Algorithms: Motivation, Analysis, and First Results

Kalyanmoy Deb, David E. Goldberg, Bradley Korb, 1989, Complex Syst..

Design of a genetic-fuzzy system for planning crab gaits of a six-legged robot

Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh, 1999 .

Push and Pull Search for Solving Constrained Multi-objective Optimization Problems

Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman, 2017, Swarm Evol. Comput..

Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms

Kalyanmoy Deb, Sanaz Mostaghim, Julian Blank, 2017, EMO.

Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach

Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh, 2002, Robotics Auton. Syst..

Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients

Kalyanmoy Deb, Mohamed Abouhawwash, K. Deb, 2016, GECCO.

Effect of selection operator on NSGA-III in single, multi, and many-objective optimization

Kalyanmoy Deb, Haitham Seada, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A bilevel optimization approach to automated parameter tuning

Kalyanmoy Deb, Peng Xu, Ankur Sinha, 2014, GECCO.

Massive Multimodality, Deception, and Genetic Algorithms

Kalyanmoy Deb, David E. Goldberg, Jeffrey Horn, 1992, PPSN.

Model transformation testing: a bi‐level search‐based software engineering approach

Kalyanmoy Deb, Marouane Kessentini, Manuel Wimmer, 2015, J. Softw. Evol. Process..

A memetic variant of R-NSGA-II for reference point problems

Kalyanmoy Deb, Oliver Schütze, Jesus Alejandro Hernández Mejía, 2014 .

Multi-objective test problems, linkages, and evolutionary methodologies

Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen, 2006, GECCO.

Multi-objective Optimisation and Multi-criteria Decision Making for FDM Using Evolutionary Approaches

Kalyanmoy Deb, Nikhil Padhye, K. Deb, 2011, Multi-objective Evolutionary Optimisation for Product Design and Manufacturing.

Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit

Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman, 2016, Evolutionary Computation.

Evolutionary multi-objective optimization and decision making for selective laser sintering

Kalyanmoy Deb, Nikhil Padhye, 2010, GECCO '10.

Searching under Multi-evolutionary Pressures

Hussein A. Abbass, Kalyanmoy Deb, K. Deb, 2003, EMO.

Evaluating Evolutionary Multi-objective Optimization Algorithms using Running Performance Metrics

Kalyanmoy Deb, S. K. Jain, Sachin K. Jain, 2002, SEAL.

Portfolio optimization with an envelope-based multi-objective evolutionary algorithm

Kalyanmoy Deb, Jürgen Branke, Hartmut Schmeck, 2009, Eur. J. Oper. Res..

Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results

Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

04461 Abstracts Collection - Practical Approaches to Multi-Objective Optimization

Kalyanmoy Deb, Jürgen Branke, Kaisa Miettinen, 2005, Practical Approaches to Multi-Objective Optimization.

Introducing Robustness in Multi-Objective Optimization

Kalyanmoy Deb, Himanshu Gupta, K. Deb, 2006, Evolutionary Computation.

Self-adaptive simulated binary crossover for real-parameter optimization

Kalyanmoy Deb, Tatsuya Okabe, Karthik Sindhya, 2007, GECCO '07.

An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls

Kalyanmoy Deb, Jyrki Wallenius, Ankur Sinha, 2014, Eur. J. Oper. Res..

Construction of Test Problems for Multi-Objective Optimization

Kalyanmoy Deb, K. Deb, 1999, GECCO.

Handling decision variable uncertainty in bilevel optimization problems

Kalyanmoy Deb, Zhichao Lu, Ankur Sinha, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Performance Scaling of Multi-objective Evolutionary Algorithms

Xin Yao, Kalyanmoy Deb, Vineet R. Khare, 2003, EMO.

A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2010, IEEE Congress on Evolutionary Computation.

Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches

Kalyanmoy Deb, Mohamed Abouhawwash, Haitham Ahmed Seada, 2016, GECCO.

Feasibility preserving constraint-handling strategies for real parameter evolutionary optimization

Kalyanmoy Deb, Nikhil Padhye, Pulkit Mittal, 2015, Comput. Optim. Appl..

A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems

Kalyanmoy Deb, Carlos M. Fonseca, Dilip Datta, 2008, J. Sched..

An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks

Kalyanmoy Deb, Pawan K. S. Nain, P. K. S. Nain, 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

04461 Summary - Practical Approaches to Multi-Criterion Optimization

Kalyanmoy Deb, Jürgen Branke, Kaisa Miettinen, 2005, Practical Approaches to Multi-Objective Optimization.

A population-based fast algorithm for a billion-dimensional resource allocation problem with integer variables

Kalyanmoy Deb, Christie Myburgh, K. Deb, 2017, Eur. J. Oper. Res..

Finding Knees in Multi-objective Optimization

Kalyanmoy Deb, Jürgen Branke, Henning Dierolf, 2004, PPSN.

Partial opposition-based learning using current best candidate solution

Shahryar Rahnamayan, Kalyanmoy Deb, Sedigheh Mahdavi, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Design and validation of a hybrid interactive reference point method for multi-objective optimization

Günter Rudolph, Kalyanmoy Deb, M. Sathe, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Effect of a push operator in genetic algorithms for multimodal optimization

Kalyanmoy Deb, Yashesh Dhebar, 2017 .

On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization

Kalyanmoy Deb, Mariano Luque, Jose Manuel Cabello, 2012, Appl. Soft Comput..

Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization

Shahryar Rahnamayan, Kalyanmoy Deb, Sedigheh Mahdavi, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Multi-Objective Evolutionary Algorithms for Engineering Shape Design

Kalyanmoy Deb, Tushar Goel, K. Deb, 2003 .

Evolutionary bilevel optimization using KKT proximity measure

Kalyanmoy Deb, Ankur Sinha, Tharo Soun, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Design knowledge extraction in multi-objective optimization problems

Kalyanmoy Deb, Sunith Bandaru, K. Deb, 2011, GECCO.

Non-Uniform Mapping in Binary-Coded Genetic Algorithms

Kalyanmoy Deb, Yashesh D. Dhebar, N. V. R. Pavan, 2014, BIC-TA.

GeneAS: A Robust Optimal Design Technique for Mechanical Component Design

Kalyanmoy Deb, K. Deb, 1997 .

Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions

Kalyanmoy Deb, Xiaobo Tan, Hong Lei, 2016, GECCO.

Evolutionary Multi-Objective Optimization Without Additional Parameters

Kalyanmoy Deb, K. Deb, 2007, Parameter Setting in Evolutionary Algorithms.

Finding near-optimum and diverse solutions for a large-scale engineering design problem

Kalyanmoy Deb, Abhinav Gaur, Santosh Tiwari, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms

Kalyanmoy Deb, David E. Goldberg, Hillol Kargupta, 1993, ICGA.

Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms

Kalyanmoy Deb, Nikhil Padhye, 2010, GECCO '10.

Test Problem Construction for Single-Objective Bilevel Optimization

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2014, Evolutionary Computation.

Hybrid gradient projection based Genetic Algorithms for constrained optimization

Kalyanmoy Deb, Rituparna Datta, Amit Saha, 2010, IEEE Congress on Evolutionary Computation.

Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey

Kalyanmoy Deb, Amos H. C. Ng, Sunith Bandaru, 2017, Expert Syst. Appl..

Evolutionary Algorithms for Multi-Criterion Optimization in Engineering Design

Kalyanmoy Deb, K. Deb, 1999 .

A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming

Kalyanmoy Deb, Deepak Sharma, Abhay Kumar, 2007, 2007 IEEE Congress on Evolutionary Computation.

Sufficient conditions for deceptive and easy binary functions

Kalyanmoy Deb, David E. Goldberg, D. Goldberg, 1994, Annals of Mathematics and Artificial Intelligence.

Generation of Compliant Mechanisms using Hybrid Genetic Algorithm

Kalyanmoy Deb, Deepak Sharma, K. Deb, 2014 .

Ordering Genetic Algorithms and Deception

Kalyanmoy Deb, David E. Goldberg, Hillol Kargupta, 1992, PPSN.

GECCO'2012 Tutorial on Evolutionary Multiobjective

Kalyanmoy Deb, Optimization Dimo Brockhoff, K. Deb, 2012 .

A robust multi-objective approach to balance severity and importance of refactoring opportunities

Mohamed Wiem Mkaouer, Kalyanmoy Deb, Marouane Kessentini, 2017, Empirical Software Engineering.

An evolutionary algorithm based approach to design optimization using evidence theory

Kalyanmoy Deb, Rupesh Kumar Srivastava, Rupesh Tulshyan, 2013 .

A GENETIC ALGORITHM BASED BUS SCHEDULING MODEL FOR TRANSIT NETWORK

Kalyanmoy Deb, Mohamed Rehan Karim, Farhan Ahmad Kidwai, 2005 .

Multiclass protein fold recognition using multiobjective evolutionary algorithms

Kalyanmoy Deb, Ponnuthurai N. Suganthan, Stanley Y. M. Shi, 2004, 2004 Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Guest Editorial Special Issue on Preference-Based Multiobjective Evolutionary Algorithms

Kalyanmoy Deb, Murat Köksalan, K. Deb, 2010, IEEE Trans. Evol. Comput..

Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor

Kalyanmoy Deb, Erik D. Goodman, Oliver Chikumbo, 2012, 2012 IEEE Congress on Evolutionary Computation.

NSGA-Net: neural architecture search using multi-objective genetic algorithm

Kalyanmoy Deb, Zhichao Lu, Vishnu Naresh Boddeti, 2018, GECCO.

Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems

Kalyanmoy Deb, K. Deb, 1999, Evolutionary Computation.

Optimization for variable-size problems using genetic algorithms

Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill, 2012 .

KKT proximity measure for testing convergence in smooth multi-objective optimization

Kalyanmoy Deb, Sunith Bandaru, Rupesh Tulshyan, 2011, GECCO '11.

A combined genetic adaptive search (GeneAS) for engineering design

Kalyanmoy Deb, Mayank Goyal, K. Deb, 1996 .

Trust-region based algorithms with low-budget for multi-objective optimization

Kalyanmoy Deb, Julian Blank, Proteek Chandan Roy, 2018, GECCO.

Design optimization of artificial lateral line system under uncertain conditions

Kalyanmoy Deb, Xiaobo Tan, Hong Lei, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A robust evolutionary framework for multi-objective optimization

Kalyanmoy Deb, K. Deb, 2008, GECCO '08.

A genetic algorithm based augmented Lagrangian method for constrained optimization

Kalyanmoy Deb, Soumil Srivastava, 2012, Comput. Optim. Appl..

Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search

Kalyanmoy Deb, Mohamed Abouhawwash, Haitham Seada, 2017, Comput. Oper. Res..

A Local Search Based Evolutionary Multi-objective Optimization Approach for Fast and Accurate Convergence

Kalyanmoy Deb, Kaisa Miettinen, Karthik Sindhya, 2008, PPSN.

Light beam search based multi-objective optimization using evolutionary algorithms

Kalyanmoy Deb, Abhay Kumar, K. Deb, 2007, 2007 IEEE Congress on Evolutionary Computation.

Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings

Zbigniew Michalewicz, Xiaodong Li, Victor Ciesielski, 2008, Asia-Pacific Conference on Simulated Evolution and Learning.

Running performance metrics for evolutionary multi-objective optimizations

Kalyanmoy Deb, S. Jain, K. Deb, 2002 .

Optimization for Engineering Design - Algorithms and Examples, Second Edition

Kalyanmoy Deb, K. Deb, 2012 .

Multi-objective Stackelberg game between a regulating authority and a mining company: A case study in environmental economics

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2013, 2013 IEEE Congress on Evolutionary Computation.

Scope of stationary multi-objective evolutionary optimization: a case study on a hydro-thermal power dispatch problem

Kalyanmoy Deb, K. Deb, 2008, J. Glob. Optim..

A parameterless-niching-assisted bi-objective approach to multimodal optimization

Kalyanmoy Deb, Sunith Bandaru, K. Deb, 2013, 2013 IEEE Congress on Evolutionary Computation.

A Computationally Fast Convergence Measure and Implementation for Single-, Multiple-, and Many-Objective Optimization

Kalyanmoy Deb, Mohamed Abouhawwash, Haitham Seada, 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

Multi-Objective Evolutionary Optimization: Past, Present, and Future

Kalyanmoy Deb, K. Deb, 2000 .

Unconstrained robust optimization using a descent-based crossover operator

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Investigation of Mutation Schemes in Real-Parameter Genetic Algorithms

Kalyanmoy Deb, Debayan Deb, 2012, SEMCCO.

Two-step procedure of optimisation for flight planning problem for airborne LiDAR data acquisition

Kalyanmoy Deb, Bharat Lohani, Ajay Dashora, 2013, Int. J. Math. Model. Numer. Optimisation.

A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data

Kalyanmoy Deb, Ponnuthurai N. Suganthan, Ashish Anand, 2007, 2007 IEEE Congress on Evolutionary Computation.

Towards automating the discovery of certain innovative design principles through a clustering-based optimization technique

Kalyanmoy Deb, Sunith Bandaru, K. Deb, 2011 .

Reliability-Based Optimization Using Evolutionary Algorithms

Kalyanmoy Deb, Jürgen Branke, Shubham Gupta, 2009, IEEE Transactions on Evolutionary Computation.

Introduction to Evolutionary Multiobjective Optimization

Kalyanmoy Deb, K. Deb, 2008, Multiobjective Optimization.

Knowledge Discovery in Production simulation By Interleaving Multi-Objective Optimization and Data Mining

Kalyanmoy Deb, Amos H. C. Ng, Catarina Dudas, 2012 .

Parent to Mean-Centric Self-Adaptation in SBX Operator for Real-Parameter Optimization

Kalyanmoy Deb, Himanshu Jain, K. Deb, 2011, SEMCCO.

A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms

Kalyanmoy Deb, Deepak Sharma, N. N. Kishore, 2008, GECCO '08.

Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms

Kalyanmoy Deb, Abhishek Jain, Pawan Zope, 2003, EMO.

An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm

Kalyanmoy Deb, Ankur Sinha, K. Deb, 2010, Evolutionary Computation.

A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making

Kalyanmoy Deb, A. K. M. Khaled Ahsan Talukder, K. Deb, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Combining Convergence and Diversity in Evolutionary Multiobjective Optimization

Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, 2002, Evolutionary Computation.

06501 Abstracts Collection - Practical Approaches to Multi-Objective Optimization

Kalyanmoy Deb, Jürgen Branke, Kaisa Miettinen, 2006, Practical Approaches to Multi-Objective Optimization.

Opposition based learning: A literature review

Shahryar Rahnamayan, Kalyanmoy Deb, Sedigheh Mahdavi, 2017, Swarm Evol. Comput..

Generalized higher-level automated innovization with application to inventory management

Kalyanmoy Deb, Amos H. C. Ng, Sunith Bandaru, 2015, Eur. J. Oper. Res..

Reference Point Based NSGA-III for Preferred Solutions

Kalyanmoy Deb, Julian Blank, Yash Vesikar, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Comparing lbest PSO niching algorithms using different position update rules

Xiaodong Li, Kalyanmoy Deb, K. Deb, 2010, IEEE Congress on Evolutionary Computation.

A population-based algorithm-generator for real-parameter optimization

Kalyanmoy Deb, K. Deb, 2005, Soft Comput..

An evolutionary based Bayesian design optimization approach under incomplete information

Kalyanmoy Deb, Rupesh Kumar Srivastava, 2013 .

Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design

Kalyanmoy Deb, Karthik Sindhya, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Transportation policy formulation as a multi-objective bilevel optimization problem

Kalyanmoy Deb, Ankur Sinha, Pekka Malo, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Search-based detection of model level changes

Kalyanmoy Deb, Marouane Kessentini, Ali Ouni, 2017, Empirical Software Engineering.

A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach

Kalyanmoy Deb, Rituparna Datta, Aviv Segev, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization

Aravind Srinivasan, Kalyanmoy Deb, K. Deb, 2008, Multiobjective Problem Solving from Nature.

Breaking the Billion-Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm

Kalyanmoy Deb, Christie Myburgh, K. Deb, 2016, GECCO.

Solving high objective problems in fixed interactions with the decision maker

Kalyanmoy Deb, Ankur Sinha, Anmol Pandey, 2012, 2012 IEEE Congress on Evolutionary Computation.

Long Path Problems

Kalyanmoy Deb, David E. Goldberg, Jeffrey Horn, 1994, PPSN.

Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems

Kalyanmoy Deb, Marco Cococcioni, Lorenzo Fiaschi, 2021, International Conference on Evolutionary Multi-Criterion Optimization.

A new gradient free local search mechanism for constrained multi-objective optimization problems

Kalyanmoy Deb, Oliver Schütze, Adriana Lara, 2021, Swarm Evol. Comput..

A customized genetic algorithm for bi-objective routing in a dynamic network

Kalyanmoy Deb, Markku Kallio, Alaleh Maskooki, 2021, Eur. J. Oper. Res..

Ensembled Crossover based Evolutionary Algorithm for Single and Multi-objective Optimization

Bijaya K. Panigrahi, Kalyanmoy Deb, Julian Blank, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Towards Multi-objective Co-evolutionary Problem Solving

Kalyanmoy Deb, Vishnu Naresh Boddeti, Anirudh Suresh, 2021, International Conference on Evolutionary Multi-Criterion Optimization.

A speciation-based bilevel niching method for multimodal truss design problems

Kalyanmoy Deb, Xiaodong Li, Md. Jakirul Islam, 2021, Journal of Combinatorial Optimization.

Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems

Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill, 2021, International Conference on Evolutionary Multi-Criterion Optimization.

An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm

Elizabeth F. Wanner, Kalyanmoy Deb, Flávio V. C. Martins, 2021, GECCO Companion.

Multimodal Optimization by Evolution Strategies with Repelling Subpopulations

Kalyanmoy Deb, Ali Ahrari, 2021 .

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification

Kalyanmoy Deb, Vishnu Naresh Boddeti, Wolfgang Banzhaf, 2019, IEEE Transactions on Evolutionary Computation.

Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization

Kalyanmoy Deb, Palaniappan Ramu, Deepak Nagar, 2021, International Conference on Evolutionary Multi-Criterion Optimization.

An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization

Kalyanmoy Deb, AKM Khaled Talukder, K. Deb, 2021, Journal of Banking and Financial Technology.

The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization

Kalyanmoy Deb, Erik D. Goodman, Lihong Xu, 2021, EMO.

Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective

Kalyanmoy Deb, Dhish Kumar Saxena, Erik D. Goodman, 2021, EMO.

Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels

Kalyanmoy Deb, Marco Cococcioni, Lorenzo Fiaschi, 2021, IEEE Transactions on Evolutionary Computation.

Evolutionary multi- and many-objective optimization: methodologies, applications and demonstration

Kalyanmoy Deb, Julian Blank, K. Deb, 2021, GECCO Companion.

Evolutionary Computation: An Emerging Framework for Practical Single and Multicriterion Optimization and Decision Making

Kalyanmoy Deb, K. Deb, 2021, Tutorials in Operations Research: Emerging Optimization Methods and Modeling Techniques with Applications.

Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints

Kalyanmoy Deb, Julian Blank, K. Deb, 2021, EMO.

Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments

Kalyanmoy Deb, Vishnu Naresh Boddeti, Jaturong Kongmanee, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive Transport

Elizabeth F. Wanner, Kalyanmoy Deb, Flávio V. C. Martins, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Neural Architecture Transfer

Kalyanmoy Deb, Vishnu Naresh Boddeti, Wolfgang Banzhaf, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid

Kalyanmoy Deb, Andreas T. Ernst, Xiaodong Li, 2021, Eur. J. Oper. Res..

A novel multi-objective model calibration method for ecohydrological applications

Kalyanmoy Deb, A. Pouyan Nejadhashemi, J. Sebastian Hernandez-Suarez, 2021, Environ. Model. Softw..

Reference point based evolutionary multi-objective optimization algorithms with convergence properties using KKTPM and ASF metrics

Kalyanmoy Deb, Mohamed Abouhawwash, K. Deb, 2021, Journal of Heuristics.

PSAF: a probabilistic surrogate-assisted framework for single-objective optimization

Kalyanmoy Deb, Julian Blank, 2021, GECCO.

Pymoo: Multi-Objective Optimization in Python

Kalyanmoy Deb, Julian Blank, 2020, IEEE Access.

2 Proposed Method : Fusion of Non-dominated Solutions Using Reference Points

Shahryar Rahnamayan, Kalyanmoy Deb, Amin Ibrahim, 2017 .

Self-Adaptive Parent to Mean-Centric Recombination for Real-Parameter Optimization

Kalyanmoy Deb, Himanshu Jain, K. Deb, 2011 .

Optimal truss-structure design using real-coded genetic algorithms

Kalyanmoy Deb, Surendra Gulati, Sekhar K. Chakrabarti, 1998 .

Optimum design of laminated composite plates with cutouts undergoing large amplitude oscillations

Kalyanmoy Deb, N.G.R. Iyengar, K. Sivakumar, 1999 .

Parallelization of Binary and Real-Coded Genetic Algorithms on CUDA

Kalyanmoy Deb, Rupesh Tulshyan, Ramnik Arora, 2010 .

Modelling of Inexact 2-d Shapes Using Real-coded Genetic Algorithms

Amitabha Mukerjee, Kalyanmoy Deb, Ram Bhushan Agrawal, 1995 .

Solving Flight Planning Problem for Airborne LiDAR Data Acquisition Using Single and Multi-Objective Genetic Algorithms

Kalyanmoy Deb, Bharat Lohani, Ajay Dashora, .

Karush-Kuhn-Tucker Optimality Based Local Search for Enhanced Convergence of Evolutionary Multi-Criterion Optimization Methods

Kalyanmoy Deb, Mohamed Abouhawwash, Haitham Seada, 2015 .

Developing Multiple Topologies of Path Generating Compliant Mechanism ( PGCM ) using Evolutionary Optimization

Kalyanmoy Deb, N. N. Kishore, Deepak Sharma, 2009 .

Hybrid Evolutionary Multi-Objective Optimization of Machining Parameters

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2011 .

Approximate KKT Points for Iterates of an Optimizer

Kalyanmoy Deb, Joydeep Dutta, Rupesh Tulshyan, 2010 .

Investigating Predator-Prey Algorithms for Multi-Objective Optimization

Kalyanmoy Deb, Udaya Bhaskara Rao, 2002 .

OPTIMIZATION OF COMPOSITE LAMINATES WITH CUTOUTS USING GENETIC ALGORITHM, VARIABLE METRIC AND COMPLEX SEARCH METHODS

Kalyanmoy Deb, N.G.R. Iyengar, K. Sivakumar, 2000 .

Standard Error Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization

Kalyanmoy Deb, Amos H. C. Ng, Florian Siegmund, 2015 .

Genetic Algorithm–Based Design and Development of Particle-Reinforced Silicone Rubber for Soft Tooling Process

Kalyanmoy Deb, Shubhabrata Datta, Arup Kumar Nandi, 2013 .

Optimizing and Deciphering Design Principles of Robot Gripper Configurations Using an Evolutionary Multi-Objective Optimization Method

Kalyanmoy Deb, Rituparna Datta, 2011 .

An Adaptive Approach for Active Multi-Factor Authentication

Kalyanmoy Deb, Dipankar Dasgupta, Abhijit Kumar Nag, 2014 .

Control of flow using genetic algorithm for a circular cylinder executing rotary oscillation

Kalyanmoy Deb, Tapan K. Sengupta, K. Deb, 2007 .

A Computationally Fast and Approximate Method for Karush-Kuhn-Tucker Proximity Measure

Kalyanmoy Deb, Mohamed Abouhawwash, K. Deb, 2015 .

RePAMO: Recursive Perturbation Approach for Multimodal Optimization

Kalyanmoy Deb, Vivek Kumar Mehta, Bhaskar Dasgupta, 2013 .

U-NSGA-III : A Unified Evolutionary Algorithm for Single , Multiple , and Many-Objective Optimization

Kalyanmoy Deb, Haitham Seada, K. Deb, 2014 .

Multi-objective optimization of a leg mechanism using genetic algorithms

Kalyanmoy Deb, Santosh Tiwari, K. Deb, 2005 .

Efficient Non-domination Level Update Approach for Steady-State Evolutionary Multiobjective Optimization

Qingfu Zhang, Kalyanmoy Deb, Ke Li, 2014 .

Studies on effective thermal conductivity of particle-reinforced polymeric flexible mould material composites

Kalyanmoy Deb, Shubhabrata Datta, Juhani Orkas, 2011 .

Robust Design Optimization of Artificial Lateral Line System

Kalyanmoy Deb, Xiaobo Tan, Ali Ahrari, 2014 .

Selected Applications of Natural Computing

Kalyanmoy Deb, K. Deb, 2010 .

Inertial properties of tapered cylinders and partial volumes of revolution

Kalyanmoy Deb, H. Wilson, 1989 .

RDS-NSGA-II: a memetic algorithm for reference point based multi-objective optimization

Kalyanmoy Deb, Oliver Schütze, Adriana Lara, 2017 .

Multi-objective evolutionary algorithms: Application in designing particle reinforced mould materials

Kalyanmoy Deb, Kalyanmoy Deb, A. K. Nandi, 2016 .

Drag Optimization For A Circular Cylinder At High Reynolds Number By Rotary Oscillation Using Genetic Algorithms

Kalyanmoy Deb, Tapan K. Sengupta, Srikanth B. Talla, 2004 .

Investigating the Role of Nonmetallic Fillers in Particulate-Reinforced Mold Composites using EAs

Kalyanmoy Deb, Shubhabrata Datta, Arup Kumar Nandi, 2011 .

Simulated evolution and learning: proceedings of the 7th International Conference on Simulated Evolution and Learning (SEAL 2008), Melbourne, Victoria, Australia, 07-10 December 2008

Zbigniew Michalewicz, Hussein A. Abbass, Kalyanmoy Deb, 2008 .

Using multi-objective optimization to secure fertile soils across municipalities

Kalyanmoy Deb, Adrienne Grêt-Regamey, Erik Goodman, 2018, Applied Geography.

A Multi-Objective Optimization Procedure with Successive Approximate Models

Kalyanmoy Deb, Pawan K. S. Nain, .

A genetic algorithm based heat transfer analysis of a bloom re-heating furnace

Nirupam Chakraborti, Kalyanmoy Deb, Avinash Jha, 2000 .

Multi-Criteria Optimization in Friction Stir Welding Using a Thermal Model with Prescribed Material Flow

Kalyanmoy Deb, Cem Celal Tutum, Jesper Henri Hattel, 2013 .

A Hybrid Bi-Objective Evolutionary-Penalty Approach for Computationally Fast and Accurate Constrained Optimization ∗

Kalyanmoy Deb, Rituparna Datta, K. Deb, 2010 .

Automating Discovery of Innovative Design Principles through Optimization

Kalyanmoy Deb, Sunith Bandaru, K. Deb, 2010 .

Solving Class Timetabling Problem of IIT Kanpur using Multi-Objective Evolutionary Algorithm

Kalyanmoy Deb, Carlos M. Fonseca, Dilip Datta, 2022 .

Towards a better understanding of the epoxy-polymerization process using multi-objective evolutionary computation

Kishalay Mitra, Kalyanmoy Deb, Rinku Dewri, 2004 .

Distributed computing of Pareto-optimal solutions using multi-objective evolutionary algorithms

Kalyanmoy Deb, Abhishek Jain, K. Deb, 2003 .

Numerical accuracy in the integration of cable dynamics equations

Kalyanmoy Deb, Daljeet Singh, K. Deb, 1992 .

An Integrated Approach to Automated Innovization for Discovering Useful Design Principles : Three Engineering Case Studies

Kalyanmoy Deb, David Greiner, António Gaspar-Cunha, 2012 .

Optimal design of composite turbine blade using genetic algorithms

Kalyanmoy Deb, N. N. Kishore, K. Deb, 1996 .