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Erik


Universidad de Guadalajara

Last seen: mehr als 4 Jahre vor Aktiv seit 2014

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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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Transmission model of COVID-19
Agent-based Transmission model of COVID-19

mehr als 5 Jahre vor | 1 Download |

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LS-II: AN IMPROVED LOCUST SEARCH (NEW VERSION)
LS-II: AN IMPROVED LOCUST SEARCH ALGORITHM FOR SOLVING OPTIMIZATION PROBLEMS

mehr als 6 Jahre vor | 3 Downloads |

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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

mehr als 6 Jahre vor | 1 Download |

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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.

fast 7 Jahre vor | 1 Download |

5.0 / 5
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Metaheuristic algorithm and machine learning
This code implements an evolutionary optimization algorithm guided by a self-organization map

fast 7 Jahre vor | 2 Downloads |

4.5 / 5
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A Metaheuristic optimization model based on Yellow Saddle Goatfish behavior

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Image feature detection based on a spider web model
find image features

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Optimization based on the States of Matter
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Algorithm for Global Optimization Inspired by Collective Animal Behavior
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A Comparison of Evolutionary Computation Techniques for IIR Model Identification
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A Cuckoo Search algorithm for multimodal optimization
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A swarm optimization algorithm inspired in the behavior of the social-spider
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