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Titlebook: Evolutionary Constrained Optimization; Rituparna Datta,Kalyanmoy Deb Book 2015 Springer India 2015 Computational Intelligence.Constrained

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發(fā)表于 2025-3-21 18:25:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Evolutionary Constrained Optimization
編輯Rituparna Datta,Kalyanmoy Deb
視頻videohttp://file.papertrans.cn/318/317914/317914.mp4
概述Self-contained collection of current research addressing the general constrained optimization problems.Contains specific chapter on hybrid optimization, which is gaining lots of popularity nowadays du
叢書名稱Infosys Science Foundation Series
圖書封面Titlebook: Evolutionary Constrained Optimization;  Rituparna Datta,Kalyanmoy Deb Book 2015 Springer India 2015 Computational Intelligence.Constrained
描述This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.
出版日期Book 2015
關(guān)鍵詞Computational Intelligence; Constrained Optimization; Constraint Handling; Evolutionary Computation; Hyb
版次1
doihttps://doi.org/10.1007/978-81-322-2184-5
isbn_softcover978-81-322-3505-7
isbn_ebook978-81-322-2184-5Series ISSN 2363-6149 Series E-ISSN 2363-6157
issn_series 2363-6149
copyrightSpringer India 2015
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Evaluation of Electronic Votinghand, such as the angle at the cone’s apex, and of the strategy considered, including its population size parameters. The impact of assuming different models for the cost of objective and constraint function evaluations is discussed.
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2363-6149 ptimization, which is gaining lots of popularity nowadays duThis book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-obj
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Jianmei Pu,Xinyu Wu,Ziluolan Luoduce different methods for quantifying the ruggedness of a given constrained optimization problem. They, in particular, take into account how to deal with infeasible regions in the underlying search space.
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Book 2015lgorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable
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