A template matching approach based on the behavior of swarms of locust. - Adrián Gonzáles; Erik Cuevas; Fernando Fausto; Arturo Valdivia; Raúl Rojas 001 (Appl. Intell., 2017)

A global optimization algorithm inspired in the behavior of selfish herds. - Fernando Fausto; Erik Cuevas; Arturo Valdivia; Adrián Gonzáles (Biosyst., 2017)

Autonomous Particles Groups for Synchronous-Asynchronous Particle Swarm Optimization. - Arturo Valdivia-Gonzalez; Itzel N. Aranguren-Navarro (LA-CCI, 2018)

A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior. - Daniel Zaldivar 001; Bernardo Morales-Castañeda; Alma Rodríguez; Arturo Valdivia; Erik Cuevas; Marco Antonio Pérez Cisneros (Biosyst., 2018)

A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. - Omar Ávalos; Erik Valdemar Cuevas Jiménez; Arturo Valdivia-Gonzalez; Jorge Gálvez; Salvador Hinojosa; Daniel Zaldivar 001; Diego Oliva (Computación y Sistemas, 2019)

A hybrid evolutionary approach based on the invasive weed optimization and estimation distribution algorithms. - Erik Cuevas; Alma Rodríguez; Arturo Valdivia; Daniel Zaldivar 001; Marco Pérez 001 (Soft Comput., 2019)

Estimating Player Completion Rate in Mobile Puzzle Games Using Reinforcement Learning. - Jeppe Theiss Kristensen; Arturo Valdivia; Paolo Burelli (CoG, 2020)

A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm. - Oscar Maciel-Castillo; Arturo Valdivia; Diego Oliva; Erik Cuevas; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (Soft Comput., 2020)

Statistical Modelling of Level Difficulty in Puzzle Games. - Jeppe Theiss Kristensen; Arturo Valdivia; Paolo Burelli (CoG, 2021)

Customer Lifetime Value in Mobile Games: a Note on Stylized Facts and Statistical Challenges. - Arturo Valdivia (CoG, 2021)

Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm. - Itzel Aranguren; Arturo Valdivia; Bernardo Morales-Castañeda; Diego Oliva; Mohamed E. Abd Elaziz; Marco Antonio Pérez Cisneros (Biomed. Signal Process. Control., 2021)

Moth Swarm Algorithm for Image Contrast Enhancement. - Alberto Luque; Erik Cuevas; Marco Antonio Pérez Cisneros; Fernando Fausto; Arturo Valdivia-Gonzalez; Ram Sarkar (Knowl. Based Syst., 2021)

Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. - Bernardo Morales-Castañeda; Oscar Maciel-Castillo; Mario A. Navarro; Itzel Aranguren; Arturo Valdivia; Alfonso Ramos-Michel; Diego Oliva; Salvador Hinojosa (CEC, 2022)

Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. - Mario A. Navarro; Alfonso Ramos-Michel; Bernardo Morales-Castañeda; Oscar Maciel-Castillo; Itzel Aranguren; Arturo Valdivia; Diego Oliva; Seyed Jalaleddin Mousavirad (CEC, 2022)

An improved multi-population whale optimization algorithm. - Mario A. Navarro; Diego Oliva; Alfonso Ramos-Michel; Daniel Zaldivar 001; Bernardo Morales-Castañeda; Marco Antonio Pérez Cisneros; Arturo Valdivia; Huiling Chen 001 (Int. J. Mach. Learn. Cybern., 2022)

Digital image thresholding by using a lateral inhibition 2D histogram and a Mutated Electromagnetic Field Optimization. - Itzel Aranguren; Arturo Valdivia; Marco Antonio Pérez Cisneros; Diego Oliva; Valentín Osuna-Enciso (Multim. Tools Appl., 2022)

A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. - Bernardo Morales-Castañeda; Diego Oliva; Ángel Casas-Ordaz; Arturo Valdivia; Mario A. Navarro; Alfonso Ramos-Michel; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (CEC, 2023)

Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. - Bernardo Morales-Castañeda; Diego Oliva; Mario A. Navarro; Alfonso Ramos-Michel; Arturo Valdivia; Ángel Casas-Ordaz; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (CEC, 2023)

An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. - Mario A. Navarro; Bernardo Morales-Castañeda; Alfonso Ramos-Michel; Diego Oliva; Arturo Valdivia; Ángel Casas-Ordaz; Erick Rodríguez-Esparza (CEC, 2023)

Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. - Alfonso Ramos-Michel; Mario A. Navarro; Diego Oliva; Bernardo Morales-Castañeda; Ángel Casas-Ordaz; Arturo Valdivia; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (SSCI, 2023)

Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy. - Arturo Valdivia; Itzel Aranguren; Jorge Ramos-Frutos; Ángel Casas-Ordaz; Diego Oliva; Saúl Zapotecas Martínez (MIC (2), 2024)

IDEL: An Improved Differential Evolution with Lissajous Mutation. - Ángel Casas-Ordaz; Arturo Valdivia; Eduardo H. Haro; Diego Oliva; Luis A. Beltran; Itzel Aranguren; Erick Rodríguez-Esparza; Diego Campos-Peña (CEC, 2024)

Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach. - Erick Rodríguez-Esparza; Bernardo Morales-Castañeda; Ángel Casas-Ordaz; Diego Oliva; Mario A. Navarro; Arturo Valdivia; Essam H. Houssein (Knowl. Based Syst., 2024)

Improved Differential Evolution with Mahalanobis Distance: IMPDE. - Ángel Casas-Ordaz; Mario A. Navarro-Velázquez; Arturo Valdivia; Diego Oliva; Jorge Ramos-Frutos (CEC, 2025)

Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity. - Erick Rodríguez-Esparza; Bernardo Morales-Castañeda; Itzel Aranguren; Arturo Valdivia; Mario A. Navarro; Diego Oliva (CEC, 2025)

Evaluating Quality of Gaming Narratives Co-Created with AI. - Arturo Valdivia; Paolo Burelli (CoG, 2025)

Optimizing Electrocardiogram Denoising for Enhanced Cardiovascular Disease Detection: A Metaheuristic Approach. - Javier Galvis-Chacón; Oscar Ramos-Soto; Diego Oliva; Arturo Valdivia; Horacio Rostro-González; Saúl Zapotecas Martínez; Marco Antonio Pérez Cisneros (Computación y Sistemas (CyS), 2025)

Improving the exploitation in the estimation of distribution algorithm through simulated annealing strategies for solar energy problems. - Jorge Ramos-Frutos; Diego Oliva; Israel Miguel-Andrés; Mario A. Navarro; Arturo Valdivia; Saúl Zapotecas Martínez; Diego Campos-Peña (Knowl. Based Syst., 2025)