Erik
Universidad de Guadalajara
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Erik Cuevas received the B.S. degree in Electronics Engineering from the University of Guadalajara, Mexico in 1995, the M.Sc. degree in Industrial Electronics from ITESO, Mexico in 2000, and the Ph.D. degree from Freie Universität Berlin, Germany in 2006. From 2001 he was awarded a scholarship from the German Service for Academic Interchange (DAAD) as full-time researcher. He is currently full-time Professor in the Department of Computer Science at the University of Guadalajara. Cuevas serves as editorial board member for the Journal of Mathematical Problems in Engineering. His current research interest includes computer vision and evolutionary computation.
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LS-II: AN IMPROVED LOCUST SEARCH (NEW VERSION)
LS-II: AN IMPROVED LOCUST SEARCH ALGORITHM FOR SOLVING OPTIMIZATION PROBLEMS
5 years 前 | 1 次下载 |
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Metaheuristic approach based on the invasive weed method
Hybrid metaheuristic approach based on the invasive weed optimization and estimation distribution algorithms
6 years 前 | 4 次下载 |
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A metaheuristic method based on the reactive model
A metaheuristic method based on the reactive model of neighborhood consensus for continuous optimization.
6 years 前 | 2 次下载 |
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Metaheuristic algorithm and machine learning
This code implements an evolutionary optimization algorithm guided by a self-organization map
6 years 前 | 8 次下载 |
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A Metaheuristic model based on Yellow Saddle Goatfish
A Metaheuristic optimization model based on Yellow Saddle Goatfish behavior
6 years 前 | 4 次下载 |
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A selection method for evolutionary algorithms based on the Golden Section
New Selection method for evolutionary approaches
7 years 前 | 1 次下载 |
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The Selfish Herd Optimizer (SHO)
The Selfish Herd Optimizer (SHO) is a metaheuristic algorithm
7 years 前 | 3 次下载 |
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Flower pollination multimodal method
Flower pollination algorithm for its use in multimodal problems.
8 years 前 | 1 次下载 |
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Induction Motor Parameter Identification Using Gravitational Search Algorithm
Induction motor identification with GSA
9 years 前 | 5 次下载 |
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Locust Search (LS) Algorithm
Evolutionary computation method based on the behavior of swarms of locusts.
9 years 前 | 2 次下载 |
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Optimization based on the States of Matter
A new optimization algorithm inspired by the States of Matter
10 years 前 | 1 次下载 |
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White blood cells detection using differential evolution (DE)
Automatic white blood cells detector
10 years 前 | 1 次下载 |
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Algorithm for Global Optimization Inspired by Collective Animal Behavior
Algorithm for Global Optimization Inspired by Collective Animal Behavior
10 years 前 | 1 次下载 |
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A Comparison of Evolutionary Computation Techniques for IIR Model Identification
Evolutionary Computation Techniques are compared considering some IIR identification problems
10 years 前 | 3 次下载 |
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A Cuckoo Search algorithm for multimodal optimization
An multi-modal optimization algorithm based on a evolutionary approach
10 years 前 | 3 次下载 |
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A swarm optimization algorithm inspired in the behavior of the social-spider
A swarm optimization algorithm inspired in the behavior of the social-spider
10 years 前 | 5 次下载 |
