Ricardo Landa Becerra

发表

Knowledge Incorporation in Multi-objective Evolutionary Algorithms

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

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

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

Culturizing differential evolution for constrained optimization

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

A hybrid local search operator for multiobjective optimization

Ricardo Landa Becerra, Gregorio Toscano Pulido, Alan Díaz-Manríquez, 2013, 2013 IEEE Congress on Evolutionary Computation.

On the use of stochastic ranking for parent selection in differential evolution for constrained optimization

Ricardo Landa Becerra, Gregorio Toscano Pulido, Guillermo Leguizamón, 2017, Soft Comput..

Evolutionary Multiobjective Optimization in Materials Science and Engineering

Ricardo Landa Becerra, Carlos A. Coello Coello, C. A. Coello Coello, 2009 .

Alternative techniques to solve hard multi-objective optimization problems

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

Engineering optimization using simple evolutionary algorithm

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

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

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

Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems

Hisao Ishibuchi, Ricardo Landa Becerra, Gregorio Toscano Pulido, 2019, EMO.

Efficient evolutionary optimization through the use of a cultural algorithm

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

An approach for estimating separability and its application on high dimensional optimization

Ricardo Landa Becerra, Gregorio Toscano Pulido, Yazmin Rojas, 2012, GECCO '12.

Optimization with constraints using a cultured differential evolution approach

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

A Long-term Memory Approach for Dynamic Multiobjective Evolutionary Algorithms

Ricardo Landa Becerra, Gregorio Toscano Pulido, Alan Díaz-Manríquez, 2011, IJCCI.

Use of a goal-constraint-based approach for finding the region of interest in multi-objective problems

Ricardo Landa Becerra, Gregorio Toscano Pulido, Giomara Lárraga, 2018, Journal of Heuristics.

Evolutionary multiobjective optimization using a cultural algorithm

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

A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems

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

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

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

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

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

A Cultural Algorithm for Constrained Optimization

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

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

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

An evaluation of Differential Evolution in software test data generation

Xin Yao, Ricardo Landa Becerra, Ramón Sagarna, 2009, 2009 IEEE Congress on Evolutionary Computation.

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

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

Constrained Optimization Using an Evolutionary Programming-based Cultural Algorithm

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

Epsilon-constraint with an efficient cultured differential evolution

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

A Cultural Algorithm for Solving the Job Shop Scheduling Problem

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

A Cultural Algorithm with Differential Evolution to Solve Constrained Optimization Problems

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

A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization

Ricardo Landa Becerra, Gregorio Toscano Pulido, Alan Díaz-Manríquez, 2011, Artificial Evolution.

On the use of a BSP Tree to create local surrogate models

Ricardo Landa Becerra, Gregorio Toscano Pulido, Alan Díaz-Manríquez, 2013, 2013 IEEE Congress on Evolutionary Computation.

Triangulation Using Differential Evolution

Ricardo Landa Becerra, Luis Gerardo de la Fraga, R. Becerra, 2008, EvoWorkshops.

Solving timetabling problems using a cultural algorithm

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