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Titlebook: Evolutionary Computation Techniques: A Comparative Perspective; Erik Cuevas,Valentín Osuna,Diego Oliva Book 2017 Springer International Pu

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發(fā)表于 2025-3-21 16:45:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Evolutionary Computation Techniques: A Comparative Perspective
編輯Erik Cuevas,Valentín Osuna,Diego Oliva
視頻videohttp://file.papertrans.cn/318/317867/317867.mp4
概述Compares various evolutionary computation (EC) techniques when they face complex optimization problems extracted from different engineering domains.Poses a complex engineering optimization problem in
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Evolutionary Computation Techniques: A Comparative Perspective;  Erik Cuevas,Valentín Osuna,Diego Oliva Book 2017 Springer International Pu
描述This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.
出版日期Book 2017
關(guān)鍵詞Evolutionary Computation Methods; Evolutionary Computation Techniques Comparison; EC for Complex Optim
版次1
doihttps://doi.org/10.1007/978-3-319-51109-2
isbn_softcover978-3-319-84568-5
isbn_ebook978-3-319-51109-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG, part of Springer Nature 2017
The information of publication is updating

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