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Titlebook: Recent Metaheuristic Computation Schemes in Engineering; Erik Cuevas,Alma Rodríguez,Carolina Del-Valle-Soto Book 2021 The Editor(s) (if ap

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發(fā)表于 2025-3-21 17:23:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Recent Metaheuristic Computation Schemes in Engineering
編輯Erik Cuevas,Alma Rodríguez,Carolina Del-Valle-Soto
視頻videohttp://file.papertrans.cn/824/823288/823288.mp4
概述Discusses new alternative metaheuristic developments which have proved to be effective in their application to several complex problems.Presents the performance comparison of various metaheuristic tec
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Recent Metaheuristic Computation Schemes in Engineering;  Erik Cuevas,Alma Rodríguez,Carolina Del-Valle-Soto Book 2021 The Editor(s) (if ap
描述.This book includes two objectives. The first goal is to present advances and developments which have proved to be effective in their application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they face complex optimization problems. The material has been compiled from a teaching perspective. Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem. According to their characteristics, some problems can be simple that can be solved by traditional optimization methods based on mathematical analysis. However, most of the problems of practical importance in engineering represent complex scenarios so that they are very hard to be solved by using traditional approaches. Under such circumstances, metaheuristic has emerged as the best alternative to solve this kind of complex formulations. This book is primarily intended for undergraduate and postgraduate students. Engineers and application developers can also benefit from the book contents since it has been structured so that each chapter can be read independently from the others, an
出版日期Book 2021
關(guān)鍵詞Swarm Intelligence; Computational Intelligence; Metaheuristics; Evolutionary Computation; Alternative Me
版次1
doihttps://doi.org/10.1007/978-3-030-66007-9
isbn_softcover978-3-030-66009-3
isbn_ebook978-3-030-66007-9Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 21:11:28 | 只看該作者
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發(fā)表于 2025-3-22 01:33:53 | 只看該作者
Studies in Computational Intelligencehttp://image.papertrans.cn/r/image/823288.jpg
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發(fā)表于 2025-3-22 04:39:37 | 只看該作者
https://doi.org/10.1007/978-3-030-66007-9Swarm Intelligence; Computational Intelligence; Metaheuristics; Evolutionary Computation; Alternative Me
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發(fā)表于 2025-3-22 11:44:59 | 只看該作者
A Metaheuristic Scheme Based on the Hunting Model of Yellow Saddle Goatfish,Animals have demonstrated clever hunting strategies when they collaborate with each other. These techniques involve swarm intelligence and have been applied to develop bio-inspired algorithms, a research field for solving optimization problems. In the last years, several methods arise from inspiration in nature to model collective animal behavior.
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發(fā)表于 2025-3-22 13:46:55 | 只看該作者
Erik Cuevas,Alma Rodríguez,Carolina Del-Valle-SotoDiscusses new alternative metaheuristic developments which have proved to be effective in their application to several complex problems.Presents the performance comparison of various metaheuristic tec
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hen only a small fraction of the stock is eaten (Huf-faker, 1966). Many believe that ‘predation is centred upon over-produced young … upon what is identifiable as the more biologically expendable parts of the population’ (Errington, 1963, p. 184); yet Pearson (1971) suggests that carnivore predation
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