Ricardo Landa Becerra

28 papers A 5B 6C 1Journal 4Unranked 11

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Decision Making in Evolutionary Multiobjective Clustering: A Machine Learning Challenge. IEEE Access Mario Garza-Fabre, Aarón Leonardo Sánchez-Martínez, Edwin Aldana-Bobadilla, Ricardo Landa Becerra
2022	—	`conf`	Machine Learning-Based Decision Making in Evolutionary Multiobjective Clustering. MICAI (1) Aarón Leonardo Sánchez-Martínez, Mario Garza-Fabre, Ricardo Landa Becerra, Edwin Aldana-Bobadilla
2019	C	`conf`	Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems. EMO Auraham Camacho, Gregorio Toscano Pulido, Ricardo Landa Becerra, Hisao Ishibuchi
2019	J	`jnl`	Use of a goal-constraint-based approach for finding the region of interest in multi-objective problems. J. Heuristics Ricardo Landa Becerra, Giomara Lárraga, Gregorio Toscano Pulido
2017	J	`jnl`	On the use of stochastic ranking for parent selection in differential evolution for constrained optimization. Soft Comput. Gregorio Toscano Pulido, Ricardo Landa Becerra, Giomara Lárraga, Guillermo Leguizamón
2013	B	`conf`	A hybrid local search operator for multiobjective optimization. IEEE Congress on Evolutionary Computation Alan Díaz-Manríquez, Gregorio Toscano Pulido, Ricardo Landa Becerra
2013	B	`conf`	A ranking method based on the R2 indicator for many-objective optimization. IEEE Congress on Evolutionary Computation Alan Díaz-Manríquez, Gregorio Toscano Pulido, Carlos Artemio Coello Coello, Ricardo Landa Becerra
2013	B	`conf`	Goal-constraint: Incorporating preferences through an evolutionary ε-constraint based method. IEEE Congress on Evolutionary Computation Ricardo Landa Becerra, Carlos Artemio Coello Coello, Gregorio Toscano Pulido
2013	B	`conf`	On the use of a BSP Tree to create local surrogate models. IEEE Congress on Evolutionary Computation Alan Díaz-Manríquez, Gregorio Toscano Pulido, Ricardo Landa Becerra
2012	A	`conf`	An approach for estimating separability and its application on high dimensional optimization. GECCO Ricardo Landa Becerra, Yazmin Rojas, Gregorio Toscano Pulido
2011	—	`conf`	A Long-term Memory Approach for Dynamic Multiobjective Evolutionary Algorithms. IJCCI (ECTA-FCTA) Alan Díaz-Manríquez, Gregorio Toscano Pulido, Ricardo Landa Becerra
2011	—	`conf`	A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization. Artificial Evolution Alan Díaz-Manríquez, Gregorio Toscano Pulido, Ricardo Landa Becerra
2011	J	`jnl`	Solving timetabling problems using a cultural algorithm. Appl. Soft Comput. Carlos Soza, Ricardo Landa Becerra, María Cristina Riff, Carlos A. Coello Coello
2009	B	`conf`	An evaluation of Differential Evolution in software test data generation. IEEE Congress on Evolutionary Computation Ricardo Landa Becerra, Ramón Sagarna, Xin Yao
2008	—	`ch.`	Knowledge Incorporation in Multi-objective Evolutionary Algorithms. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases Ricardo Landa Becerra, Luis V. Santana-Quintero, Carlos A. Coello Coello
2008	—	`conf`	Triangulation Using Differential Evolution. EvoWorkshops Ricardo Landa Becerra, Luis Gerardo de la Fraga
2007	—	`conf`	A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems. IFSA (1) Carlos Soza, Ricardo Landa Becerra, María Cristina Riff, Carlos A. Coello Coello
2007	A	`conf`	Alternative techniques to solve hard multi-objective optimization problems. GECCO Ricardo Landa Becerra, Carlos A. Coello Coello, Alfredo García Hernández-Díaz, Rafael Caballero, Julián Molina Luque
2007	—	`conf`	Epsilon-constraint with an efficient cultured differential evolution. GECCO (Companion) Ricardo Landa Becerra, Carlos A. Coello Coello
2006	A	`conf`	Solving Hard Multiobjective Optimization Problems Using PPSN Ricardo Landa Becerra, Carlos A. Coello Coello
2005	A	`conf`	Optimization with constraints using a cultured differential evolution approach. GECCO Ricardo Landa Becerra, Carlos A. Coello Coello
2005	—	`conf`	Use of domain information to improve the performance of an evolutionary algorithm. GECCO Workshops Ricardo Landa Becerra, Carlos A. Coello Coello
2004	—	`conf`	A Cultural Algorithm with Differential Evolution to Solve Constrained Optimization Problems. IBERAMIA Ricardo Landa Becerra, Carlos A. Coello Coello
2004	—	`conf`	Culturizing Differential Evolution for Constrained Optimization. ENC Ricardo Landa Becerra, Carlos A. Coello Coello
2003	B	`conf`	Engineering Optimization Using a Simple Evolutionary Algorithm. ICTAI Efrén Mezura-Montes, Carlos A. Coello Coello, Ricardo Landa Becerra
2003	—	`conf`	Evolutionary multiobjective optimization using a cultural algorithm. SIS Carlos A. Coello Coello, Ricardo Landa Becerra
2002	—	`conf`	A Cultural Algorithm for Constrained Optimization. MICAI Carlos A. Coello Coello, Ricardo Landa Becerra
2002	A	`conf`	Adding Knowledge And Efficient Data Structures To Evolutionary Programming: A Cultural Algorithm For Constrained Optimization. GECCO Carlos A. Coello Coello, Ricardo Landa Becerra