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Arturo Valdivia
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- affiliation: University of Guadalajara, University Center of Exact Sciences and Engineering (CUCEI), Mexico
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2020 – today
- 2024
- [j11]Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Diego Oliva
, Mario A. Navarro, Arturo Valdivia, Essam H. Houssein
Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach. Knowl. Based Syst. 294: 111784 (2024) - [c12]Arturo Valdivia
Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy. MIC (2) 2024: 279-291 - [c11]Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro
IDEL: An Improved Differential Evolution with Lissajous Mutation. CEC 2024: 1-8 - 2023
- [c10]Bernardo Morales-Castañeda, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. CEC 2023: 1-8 - [c9]Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. CEC 2023: 1-8 - [c8]Mario A. Navarro
An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. CEC 2023: 1-8 - [c7]Alfonso Ramos-Michel, Mario A. Navarro
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. SSCI 2023: 1547-1552 - [i2]Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli:
Estimating player completion rate in mobile puzzle games using reinforcement learning. CoRR abs/2306.14626 (2023) - 2022
- [j10]Mario A. Navarro
An improved multi-population whale optimization algorithm. Int. J. Mach. Learn. Cybern. 13(9): 2447-2478 (2022) - [j9]Itzel Aranguren
Digital image thresholding by using a lateral inhibition 2D histogram and a Mutated Electromagnetic Field Optimization. Multim. Tools Appl. 81(7): 10023-10049 (2022) - [c6]Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Mario A. Navarro
Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. CEC 2022: 1-7 - [c5]Mario A. Navarro
Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. CEC 2022: 1-8 - 2021
- [j8]Itzel Aranguren
Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm. Biomed. Signal Process. Control. 64: 102259 (2021) - [j7]Alberto Luque
Moth Swarm Algorithm for Image Contrast Enhancement. Knowl. Based Syst. 212: 106607 (2021) - [c4]Jeppe Theiss Kristensen
Statistical Modelling of Level Difficulty in Puzzle Games. CoG 2021: 1-8 - [c3]Arturo Valdivia:
Customer Lifetime Value in Mobile Games: a Note on Stylized Facts and Statistical Challenges. CoG 2021: 1-5 - [i1]Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli:
Statistical Modelling of Level Difficulty in Puzzle Games. CoRR abs/2107.03305 (2021) - 2020
- [j6]Oscar Maciel-Castillo
A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm. Soft Comput. 24(12): 8823-8856 (2020) - [c2]Jeppe Theiss Kristensen
Estimating Player Completion Rate in Mobile Puzzle Games Using Reinforcement Learning. CoG 2020: 636-639
2010 – 2019
- 2019
- [j5]Omar Ávalos
A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. Computación y Sistemas 23(1): 231 (2019) - [j4]Erik Cuevas
A hybrid evolutionary approach based on the invasive weed optimization and estimation distribution algorithms. Soft Comput. 23(24): 13627-13668 (2019) - 2018
- [j3]Daniel Zaldivar, Bernardo Morales-Castañeda
A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior. Biosyst. 174: 1-21 (2018) - [c1]Arturo Valdivia-Gonzalez
Autonomous Particles Groups for Synchronous-Asynchronous Particle Swarm Optimization. LA-CCI 2018: 1-5 - 2017
- [j2]Adrián Gonzáles
A template matching approach based on the behavior of swarms of locust. Appl. Intell. 47(4): 1087-1098 (2017) - [j1]Fernando Fausto, Erik Cuevas, Arturo Valdivia
A global optimization algorithm inspired in the behavior of selfish herds. Biosyst. 160: 39-55 (2017)
Coauthor Index
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