A Comparison of Evolutionary Computation Techniques for IIR Model Identification. - Erik Cuevas; Jorge Gálvez; Salvador Hinojosa; Omar Ávalos; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (J. Appl. Math., 2014)

Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. - Diego Oliva; Salvador Hinojosa; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Expert Syst. Appl., 2017)

Real-time video thresholding using evolutionary techniques and cross entropy. - Salvador Hinojosa; Diego Oliva; Erik Cuevas; Marco Antonio Pérez Cisneros; Gonzalo Pajares (EAIS, 2018)

Remote sensing imagery segmentation based on multi-objective optimization algorithms. - Salvador Hinojosa; Omar Ávalos; Jorge Gálvez; Diego Oliva; Erik Cuevas; Marco Antonio Pérez Cisneros (LA-CCI, 2018)

Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. - Jorge Gálvez; Erik Cuevas; Omar Ávalos; Diego Oliva; Salvador Hinojosa (Appl. Intell., 2018)

Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search. - Salvador Hinojosa; Krishna Gopal Dhal; Mohamed E. Abd Elaziz; Diego Oliva; Erik Cuevas (Neurocomputing, 2018)

Unassisted thresholding based on multi-objective evolutionary algorithms. - Salvador Hinojosa; Omar Ávalos; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Daniel Zaldivar 001; Jorge Gálvez (Knowl. Based Syst., 2018)

Context based image segmentation using antlion optimization and sine cosine algorithm. - Diego Oliva; Salvador Hinojosa; Mohamed Abd El-Aziz 001; Noé Ortega-Sánchez (Multim. Tools Appl., 2018)

Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. - Salvador Hinojosa; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Neural Comput. Appl., 2018)

Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. - Salvador Hinojosa; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Neural Comput. Appl., 2018)

Improving the estimation of parameters in induction motors using an evolutionary computation algorithm. - Diego Oliva; Salvador Hinojosa; Marcella S. R. Martins; Erick Rodríguez-Esparza; Noé Ortega-Sánchez; Marco Antonio Pérez Cisneros (LA-CCI, 2019)

Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison. - Erick Rodríguez-Esparza; Laura A. Zanella-Calzada; Diego Oliva; Salvador Hinojosa; Marco Antonio Pérez Cisneros (LA-CCI, 2019)

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 reactive model based on neighborhood consensus for continuous optimization. - Jorge Gálvez; Erik Cuevas; Salvador Hinojosa; Omar Ávalos; Marco Antonio Pérez Cisneros (Expert Syst. Appl., 2019)

Image segmentation by minimum cross entropy using evolutionary methods. - Diego Oliva; Salvador Hinojosa; Valentín Osuna-Enciso; Erik Cuevas; Marco Antonio Pérez Cisneros; Gildardo Sánchez-Ante (Soft Comput., 2019)

Multilevel thresholding by fuzzy type II sets using evolutionary algorithms. - Diego Oliva; Sayan Nag; Mohamed E. Abd Elaziz; Uddalok Sarkar; Salvador Hinojosa (Swarm Evol. Comput., 2019)

Metaheuristic Algorithms for Image Segmentation: Theory and Applications - Diego Oliva; Mohamed Abd El-Aziz 001; Salvador Hinojosa (Springer, 2019)

Balancing the Influence of Evolutionary Operators for Global optimization. - Diego Oliva; Erick Rodríguez-Esparza; Marcella S. R. Martins; Mohamed E. Abd Elaziz; Salvador Hinojosa; Ahmed A. Ewees; Songfeng Lu (CEC, 2020)

Side-Blotched Lizard Algorithm: A polymorphic population approach. - Oscar Maciel-Castillo; Erik Cuevas; Mario A. Navarro; Daniel Zaldivar 001; Salvador Hinojosa (Appl. Soft Comput., 2020)

Improving image thresholding by the type II fuzzy entropy and a hybrid optimization algorithm. - Mohamed E. Abd Elaziz; Uddalok Sarkar; Sayan Nag; Salvador Hinojosa; Diego Oliva (Soft Comput., 2020)

Reducing overlapped pixels: a multi-objective color thresholding approach. - Salvador Hinojosa; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (Soft Comput., 2020)

Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. - Seyed Jalaleddin Mousavirad; Diego Oliva; Salvador Hinojosa; Gerald Schaefer (CEC, 2021)

HCS-BBD: an effective population-based approach for multi-level thresholding. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Diego Oliva; Salvador Hinojosa (GECCO Companion, 2021)

Opposition-based moth swarm algorithm. - Diego Oliva; Sara Esquivel-Torres; Salvador Hinojosa; Marco Antonio Pérez Cisneros; Valentín Osuna-Enciso; Noé Ortega-Sánchez; Gaurav Dhiman; Ali Asghar Heidari (Expert Syst. Appl., 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 Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. - Mario A. Navarro; Alfonso Ramos-Michel; Angel Gaspar; Diego Oliva; Salvador Hinojosa; Seyed Jalaleddin Mousavirad; Marco Antonio Pérez Cisneros (EvoApplications, 2022)

An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images. - Angel Gaspar; Diego Oliva; Salvador Hinojosa; Itzel Aranguren; Daniel Zaldivar 001 (Appl. Soft Comput., 2022)

Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation. - Seyed Jalaleddin Mousavirad; Diego Oliva; Ripon K. Chakrabortty; Davood Zabihzadeh; Salvador Hinojosa (Knowl. Based Syst., 2022)

A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. - Diego Oliva; Marcella S. R. Martins; Salvador Hinojosa; Mohamed E. Abd Elaziz; Paulo Victor dos Santos; Gelson da Cruz; Seyed Jalaleddin Mousavirad (Int. J. Mach. Learn. Cybern., 2022)

Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Clément Larose; Salvador Hinojosa; Andres Mendez-Vazquez; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2024)