A Study of Rule Set Development in a Learning Classifier System. - Robert E. Smith 001; Manuel Valenzuela-Rendón (ICGA, 1989)

Boolean Analysis of Classifier Sets. - Manuel Valenzuela-Rendón (ICGA, 1989)

The Fuzzy Classifier System: Motivations and first Results. - Manuel Valenzuela-Rendón (PPSN, 1990)

The Fuzzy Classifier System: A Classifier System for Continuously Varying Variables. - Manuel Valenzuela-Rendón (ICGA, 1991)

A Non-Generational Genetic Algorithm for Multiobjective Optimization. - Manuel Valenzuela-Rendón; Eduardo Uresti-Charre (ICGA, 1997)

Application of the hardness theory when solving the timetabling problem with genetic algorithms. - Hugo Terashima-Marín; Peter Ross; Manuel Valenzuela-Rendón (CEC, 1999)

Clique-based crossover for solving the timetabling problem with GAs. - Hugo Terashima-Marín; Peter Ross; Manuel Valenzuela-Rendón (CEC, 1999)

An Incremental and Non-generational Coevolutionary Algorithm. - Ramón Alfonso Palacios-Durazo; Manuel Valenzuela-Rendón (GECCO, 2003)

The Virtual Gene Genetic Algorithm. - Manuel Valenzuela-Rendón (GECCO, 2003)

Paper cutting optimization using simulated annealing. - Horacio Martinez-Alfaro; Manuel Valenzuela-Rendón (SMC, 2003)

Similarities Between Co-evolution and Learning Classifier Systems and Their Applications. - Ramón Alfonso Palacios-Durazo; Manuel Valenzuela-Rendón (GECCO (1), 2004)

Using Simulated Annealing for Paper Cutting Optimization. - Horacio Martinez-Alfaro; Manuel Valenzuela-Rendón (MICAI, 2004)

Scheduling Transportation Events with Grouping Genetic Algorithms and the Heuristic DJD. - Hugo Terashima-Marín; Juan Manuel Tavernier-Deloya; Manuel Valenzuela-Rendón (MICAI, 2005)

A Deterministic Alternative to Competent Genetic Algorithms That Solves to Optimality Linearly Decomposable Non-overlapping Problems in Polynomial Time. - Manuel Valenzuela-Rendón; Horacio Martinez-Alfaro; Hugo Terashima-Marín (MICAI, 2005)

A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2006)

Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (IBERAMIA-SBIA, 2006)

Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem. - Hugo Terashima-Marín; Cláudia J. Farías Zárate; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2007)

On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution. - Carlos D. Toledo-Suárez; Manuel Valenzuela-Rendón; Hugo Terashima-Marín; Eduardo Uresti-Charre (GECCO, 2007)

A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions. - José Abdón Ramírez-Ruiz; Manuel Valenzuela-Rendón; Hugo Terashima-Marín (GECCO, 2008)

Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. - Hugo Terashima-Marín; José Carlos Ortiz-Bayliss; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2008)

Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems. - Hugo Terashima-Marín; José Carlos Ortiz-Bayliss; Peter Ross; Manuel Valenzuela-Rendón (MICAI, 2008)

QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions. - José Abdón Ramírez-Ruiz; Manuel Valenzuela-Rendón; Hugo Terashima-Marín (PPSN, 2008)

On the possibility to design intelligent sensor systems after excitable media models: An agent-based simulation. - Luis M. Fernandez-Carrasco; Hugo Terashima-Marín; Manuel Valenzuela-Rendón (SMC, 2008)

A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. - José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Peter Ross; Jorge Iván Fuentes-Rosado; Manuel Valenzuela-Rendón (GECCO, 2009)

uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions. - José Abdón Ramírez-Ruiz; Manuel Valenzuela-Rendón; Hugo Terashima-Marín (GECCO, 2009)

Linear Wind Farm Layout Optimization through Computational Intelligence. - José-Francisco Herbert-Acero; Jorge-Rodolfo Franco-Acevedo; Manuel Valenzuela-Rendón; Oliver Probst-Oleszewski (MICAI, 2009)

Using Simulated Annealing with a Neighborhood Heuristic for Roll Cutting Optimization. - Horacio Martinez-Alfaro; Manuel Valenzuela-Rendón (Computación y Sistemas, 2009)

Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. - Eunice López-Camacho; Hugo Terashima-Marín; Peter Ross; Manuel Valenzuela-Rendón (GECCO, 2010)

Generalized hyper-heuristics for solving 2D Regular and Irregular Packing Problems. - Hugo Terashima-Marín; Peter Ross; Cláudia J. Farías Zárate; Eunice López-Camacho; Manuel Valenzuela-Rendón (Ann. Oper. Res., 2010)

Steepest Ascent Hill Climbing for Portfolio Selection. - Jonathan Arriaga-González; Manuel Valenzuela-Rendón (EvoApplications, 2012)

Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming. - Alejandro Sosa-Ascencio; Manuel Valenzuela-Rendón; Hugo Terashima-Marín (MICAI (Special Sessions), 2012)

Grammar-based Genetic Programming for evolving variable ordering heuristics. - Alejandro Sosa-Ascencio; Hugo Terashima-Marín; Manuel Valenzuela-Rendón (IEEE Congress on Evolutionary Computation, 2013)

The Concept of Confidence for Inheritance-Based Genetic Algorithms. - Rubén Aguilar-Rivera; Manuel Valenzuela-Rendón; José Rodríguez-Ortiz (MICAI (2), 2013)

Reinforcement Learning Method for Portfolio Optimal Frontier Search. - Jonathan Arriaga-González; Manuel Valenzuela-Rendón (MICAI (2), 2013)

Genetic algorithms and Darwinian approaches in financial applications: A survey. - Rubén Aguilar-Rivera; Manuel Valenzuela-Rendón; José Rodríguez-Ortiz (Expert Syst. Appl., 2015)

Towards a More General XCS: Classifier Fusion and Don't Cares in Actions. - Alejandro Garza-Cuéllar; Manuel Valenzuela-Rendón; Ricardo-Javier Parra-Álvarez (MICAI (2), 2016)

A Tutorial on Deep Neural Networks for Intelligent Systems. - Juan Carlos Cuevas-Tello; Manuel Valenzuela-Rendón; Juan Arturo Nolazco-Flores (CoRR, 2016)

From Words to Sentences & Back: Characterizing Context-dependent Meaning Representations in the Brain. - Nora E. Aguirre-Celis; Manuel Valenzuela-Rendón; Risto Miikkulainen (CogSci, 2017)

Effect of Parameters Tuned by a Taguchi Design L_9 3^4 in the GRASP Algorithm to Solve the Vehicle Routing Problem with Time Windows. - Alma Danisa Romero Ocaño; María Cosío León; Manuel Valenzuela-Rendón; Gener José Avilés Rodríguez; Anabel Martínez-Vargas (Computación y Sistemas, 2018)

A new multi-period investment strategies method based on evolutionary algorithms. - Anton Aguilar-Rivera; Manuel Valenzuela-Rendón (Neural Comput. Appl., 2019)