Omar Ávalos

According to our database, Omar Ávalos authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improved crow search algorithm for optimal flexible manufacturing process planning.

Omar Ávalos, Eduardo H. Haro, Octavio Camarena, Primitivo Díaz

Expert Syst. Appl., January, 2024

Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning.

Nayeli Areli Pérez-Padilla, Rodolfo Garcia-Sanchez, Omar Ávalos, Jorge Gálvez, Minglei Bian, Liang Yu, Yimin Shu, Ming Feng, Frank D. Yelian

Comput. Biol. Medicine, 2024

An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors.

Héctor Escobar-Cuevas, Erik Cuevas, Karla Avila, Omar Ávalos

Comput. Appl. Math., 2024

2023

An accurate flexible process planning using an adaptive genetic algorithm.

Eduardo H. Haro, Omar Ávalos, Octavio Camarena, Erik Cuevas

Neural Comput. Appl., March, 2023

Analysis and Comparison of Metaheuristics

Erik Cuevas, Omar Ávalos, Jorge Gálvez

Studies in Computational Intelligence 1063, Springer, ISBN: 978-3-031-20104-2, 2023

Contrast Enhancement in Images by Homomorphic Filtering and Cluster-Chaotic Optimization.

Ángel Chavarin, Erik Cuevas, Omar Ávalos, Jorge Gálvez, Marco Antonio Pérez Cisneros

IEEE Access, 2023

2021

An accurate Cluster chaotic optimization approach for digital medical image segmentation.

Omar Ávalos, Ernesto Ayala, Fernando Wario, Marco Antonio Pérez Cisneros

Neural Comput. Appl., 2021

A mean shift segmentation scheme using several pixel characteristics.

Erik Cuevas, Jorge Gálvez, Omar Ávalos, Ángel Chavarin

Comput. Electr. Eng., 2021

2020

Recent Metaheuristics Algorithms for Parameter Identification

Erik Cuevas, Jorge Gálvez, Omar Ávalos

Studies in Computational Intelligence 854, Springer, ISBN: 978-3-030-28916-4, 2020

A hybrid optimization approach based on clustering and chaotic sequences.

Jorge Gálvez, Erik Cuevas, Héctor M. Becerra, Omar Ávalos

Int. J. Mach. Learn. Cybern., 2020

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

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, Diego Oliva

Computación y Sistemas, 2019

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 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

Unassisted thresholding based on multi-objective evolutionary algorithms.

Salvador Hinojosa, Omar Ávalos, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Jorge Gálvez

Knowl. Based Syst., 2018

Electromagnetism-like mechanism with collective animal behavior for multimodal optimization.

Jorge Gálvez, Erik Cuevas, Omar Ávalos, Diego Oliva, Salvador Hinojosa

Appl. Intell., 2018

Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm.

Erik Cuevas, Primitivo Díaz, Omar Ávalos, Daniel Zaldivar, Marco Antonio Pérez Cisneros

Appl. Intell., 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

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

2017

Flower Pollination Algorithm for Multimodal Optimization.

Jorge Gálvez, Erik Cuevas, Omar Ávalos

Int. J. Comput. Intell. Syst., 2017

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

Parameter Estimation for Chaotic Fractional Systems by Using the Locust Search Algorithm.

Erik Cuevas, Jorge Gálvez, Omar Ávalos

Computación y Sistemas, 2017

2016

Induction Motor Parameter Identification Using a Gravitational Search Algorithm.

Omar Ávalos, Erik Cuevas, Jorge Gálvez

Comput., 2016

2014

A Comparison of Evolutionary Computation Techniques for IIR Model Identification.

Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Ávalos, Daniel Zaldivar, Marco Antonio Pérez Cisneros

J. Appl. Math., 2014