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Diego Oliva

Diego Oliva

Diego Oliva is an associate professor at the University of Guadalajara in Mexico. His research focuses on computational intelligence an evolutionary and swarm algorithms. He is an editor for several journals including Swarm and Evolutionary Comutation. He is involved in organising conferences such as Evostar, CEC, and WCCI. He is a member of the Mexican National Research System (SNII), a senior member of the IEEE, and a member of the Mexican Academy of Computer Sciences (AMEXCOMP).

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1.
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art37 %
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Artificial Intelligence Using Federated Learning37 %
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30 Dec 2024
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems37 %
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Modern Metaheuristics in Image Processing36 %
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10 Sep 2024
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Engineering Applications of Modern Metaheuristics37 %
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12 May 2023
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art37 %
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Differential Evolution: From Theory to Practice37 %
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27 Jan 2023
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Engineering Applications of Modern Metaheuristics37 %
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Modern Metaheuristics in Image Processing37 %
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28 Sep 2022
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Artificial Intelligence for COVID-1937 %
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22 Jul 2022
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Metaheuristics in Machine Learning: Theory and Applications37 %
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15 Jul 2022
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13.
Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems37 %
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Technological and Industrial Applications Associated with Intelligent Logistics37 %
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art37 %
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Technological and Industrial Applications Associated With Industry 4.037 %
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07 Feb 2022
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17.
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art37 %
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Differential Evolution: From Theory to Practice37 %
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26 Jan 2022
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19.
Applications of Hybrid Metaheuristic Algorithms for Image Processing37 %
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28 Mar 2021
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Artificial Intelligence for COVID-1937 %
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21 Jul 2021
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