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Titlebook: Multi-objective Swarm Intelligence; Theoretical Advances Satchidananda Dehuri,Alok Kumar Jagadev,Mrutyunjay Book 2015 Springer-Verlag Berli

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書目名稱Multi-objective Swarm Intelligence
副標題Theoretical Advances
編輯Satchidananda Dehuri,Alok Kumar Jagadev,Mrutyunjay
視頻videohttp://file.papertrans.cn/641/640090/640090.mp4
概述Recent research on Multi objective Swarm Intelligence.Presents theoretical advances and applications.Written by leading experts in the field.Includes supplementary material:
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Multi-objective Swarm Intelligence; Theoretical Advances Satchidananda Dehuri,Alok Kumar Jagadev,Mrutyunjay Book 2015 Springer-Verlag Berli
描述.The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.??????? .
出版日期Book 2015
關(guān)鍵詞Computational Intelligence; Multi-Objective Optimization; Multi-objective Swarm Intelligence; Populatio
版次1
doihttps://doi.org/10.1007/978-3-662-46309-3
isbn_softcover978-3-662-52365-0
isbn_ebook978-3-662-46309-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2015
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https://doi.org/10.1007/978-3-662-46309-3Computational Intelligence; Multi-Objective Optimization; Multi-objective Swarm Intelligence; Populatio
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Book 2015like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.??????? .
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發(fā)表于 2025-3-22 22:19:16 | 只看該作者
Book 2015relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal a
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1860-949X hniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.??????? .978-3-662-52365-0978-3-662-46309-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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