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ORCIDOmar Ávalos
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2020 – today
- 2024
[j20]Héctor Escobar-Cuevas, Erik Cuevas, Karla Avila
, Omar Ávalos:
An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors. Comput. Appl. Math. 43(4): 234 (2024)- [j19]Nayeli Areli Pérez-Padilla, Rodolfo Garcia-Sanchez, Omar Ávalos, Jorge Gálvez, Minglei Bian, Liang Yu, Yimin Shu, Ming Feng, Frank D. Yelian:
Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning. Comput. Biol. Medicine 179: 108856 (2024) - [j18]Omar Ávalos, Eduardo H. Haro, Octavio Camarena, Primitivo Díaz:
Improved crow search algorithm for optimal flexible manufacturing process planning. Expert Syst. Appl. 235: 121243 (2024) - 2023
- [b2]Erik Cuevas, Omar Ávalos, Jorge Gálvez:
Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence 1063, Springer 2023, ISBN 978-3-031-20104-2, pp. 1-220 - [j17]Ángel Chavarin, Erik Cuevas, Omar Ávalos, Jorge Gálvez, Marco Antonio Pérez Cisneros:
Contrast Enhancement in Images by Homomorphic Filtering and Cluster-Chaotic Optimization. IEEE Access 11: 73803-73822 (2023) - [j16]Eduardo H. Haro, Omar Ávalos, Octavio Camarena, Erik Cuevas:
An accurate flexible process planning using an adaptive genetic algorithm. Neural Comput. Appl. 35(9): 6435-6456 (2023) - 2021
- [j15]Erik Cuevas, Jorge Gálvez, Omar Ávalos, Ángel Chavarin:
A mean shift segmentation scheme using several pixel characteristics. Comput. Electr. Eng. 90: 107022 (2021) - [j14]Omar Ávalos, Ernesto Ayala, Fernando Wario, Marco Antonio Pérez Cisneros:
An accurate Cluster chaotic optimization approach for digital medical image segmentation. Neural Comput. Appl. 33(16): 10057-10091 (2021) - 2020
- [b1]Erik Cuevas, Jorge Gálvez, Omar Ávalos:
Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence 854, Springer 2020, ISBN 978-3-030-28916-4, pp. 1-277 - [j13]Jorge Gálvez, Erik Cuevas, Héctor M. Becerra, Omar Ávalos:
A hybrid optimization approach based on clustering and chaotic sequences. Int. J. Mach. Learn. Cybern. 11(2): 359-401 (2020)
2010 – 2019
- 2019
- [j12]Omar Ávalos, Erik Valdemar Cuevas Jiménez, Arturo Valdivia-Gonzalez, Jorge Gálvez, Salvador Hinojosa, Daniel Zaldivar, Diego Oliva:
A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. Computación y Sistemas 23(1): 231 (2019) - [j11]Jorge Gálvez, Erik Cuevas, Salvador Hinojosa, Omar Ávalos, Marco Antonio Pérez Cisneros:
A reactive model based on neighborhood consensus for continuous optimization. Expert Syst. Appl. 121: 115-141 (2019) - 2018
- [j10]Erik Cuevas, Primitivo Díaz, Omar Ávalos, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm. Appl. Intell. 48(1): 182-203 (2018) - [j9]Jorge Gálvez, Erik Cuevas, Omar Ávalos, Diego Oliva, Salvador Hinojosa:
Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. Appl. Intell. 48(9): 2580-2612 (2018) - [j8]Salvador Hinojosa, Omar Ávalos, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Jorge Gálvez:
Unassisted thresholding based on multi-objective evolutionary algorithms. Knowl. Based Syst. 159: 221-232 (2018) - [j7]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Comput. Appl. 29(8): 319-335 (2018) - [j6]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Comput. Appl. 29(8): 337 (2018) - [c1]Salvador Hinojosa, Omar Ávalos, Jorge Gálvez, Diego Oliva, Erik Cuevas, Marco Antonio Pérez Cisneros:
Remote sensing imagery segmentation based on multi-objective optimization algorithms. LA-CCI 2018: 1-6 - 2017
- [j5]Erik Cuevas, Jorge Gálvez, Omar Ávalos:
Parameter Estimation for Chaotic Fractional Systems by Using the Locust Search Algorithm. Computación y Sistemas 21(2) (2017) - [j4]Diego Oliva, Salvador Hinojosa, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. Expert Syst. Appl. 79: 164-180 (2017) - [j3]Jorge Gálvez, Erik Cuevas, Omar Ávalos:
Flower Pollination Algorithm for Multimodal Optimization. Int. J. Comput. Intell. Syst. 10(1): 627-646 (2017) - 2016
- [j2]Omar Ávalos, Erik Cuevas, Jorge Gálvez:
Induction Motor Parameter Identification Using a Gravitational Search Algorithm. Comput. 5(2): 6 (2016) - 2014
- [j1]Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Ávalos, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A Comparison of Evolutionary Computation Techniques for IIR Model Identification. J. Appl. Math. 2014: 827206:1-827206:9 (2014)
Coauthor Index
aka: Erik Cuevas
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