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Titlebook: Evolutionary Computations; New Algorithms and t Keigo Watanabe,M. M. A. Hashem Book 2004 Springer-Verlag Berlin Heidelberg 2004 Normal.algo

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書目名稱Evolutionary Computations
副標題New Algorithms and t
編輯Keigo Watanabe,M. M. A. Hashem
視頻videohttp://file.papertrans.cn/318/317903/317903.mp4
概述Presents evolutionary algorithms that can be successfully applied to real-world problems such as robotic control.Basic understanding of mathematics is sufficient to follow the book.Includes supplement
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Evolutionary Computations; New Algorithms and t Keigo Watanabe,M. M. A. Hashem Book 2004 Springer-Verlag Berlin Heidelberg 2004 Normal.algo
描述.Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade. This monograph develops and analyzes evolutionary algorithms that can be successfully applied to real-world problems such as robotic control. Although of particular interest to robotic control engineers, .Evolutionary Computations. also may interest the large audience of researchers, engineers, designers and graduate students confronted with complicated optimization tasks..
出版日期Book 2004
關鍵詞Normal; algorithm; algorithms; autonom; autonomous robot; construction; evolutionary algorithm; mobile robo
版次1
doihttps://doi.org/10.1007/978-3-540-39883-7
isbn_softcover978-3-642-05887-5
isbn_ebook978-3-540-39883-7Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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Book 2004l-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade. This monograph develops and analyzes evolutionary algorithms that can be successfully applied to real-world problems such as robotic control. Alt
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Evolutionary Behavior-Based Control of Mobile Robots,stem design parameter setting. In the proposed method, the number of subgroups is the same as that of searching directions. The crossover decides the searching direction and the mutation decides the searching domain.
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A Republican Concept of Corporate Ethics,izing the objective function, the self-adaptation technique requires optimization of the strategy parameters as well [108]. This dual optimization creates algorithmic complexity and in turn, it causes expense in computation time. Regarding this, B?ck . [17][p.7] stated as
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