| 期刊全称 | Analysis and Comparison of Metaheuristics | | 影响因子2023 | Erik Cuevas,Omar Avalos,Jorge Gálvez | | 视频video | | | 发行地址 | Presents a comparative perspective of current metaheuristic developments.Includes effective applications to several complex problems.Gives an introduction to Analysis and Comparison of Metaheuristics | | 学科分类 | Studies in Computational Intelligence | | 图书封面 |  | | 影响因子 | This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emulate very different processes or systems, the rules used to model individual behavior are very similar. Under such conditions, it is not clear to identify which are the advantages or disadvantages of each metaheuristic technique. The book is compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. It is appropriate for courses such as Artificial Intelligence, Electrical Engineering, Evolutionary Computation. The book is also useful for researchers from the evolutionary and engineering communities. Likewise, engineer practitioners, who are not familiar with metaheuristic computation concepts, will appreciate that the techniques discussed are beyond simple theoretical tools s | | Pindex | Book 2023 |
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发表于 2025-3-21 16:38:09
