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Adaptation, Learning, and Optimization

Brain Storm Optimization Algorithms

Concepts, Principles and Applications

Editors: Cheng, Shi, Shi, Yuhui (Eds.)

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  • Presents the latest advances in Brain Storm Optimization (BSO) algorithms   
  • Shares new ideas and outlines future directions of development
  • Presents various concepts, principles and applications of Brain Storm Optimization algorithms 
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eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-15070-9
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  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-030-15069-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 114,39 €
price for Spain (gross)
  • Due: July 1, 2020
  • ISBN 978-3-030-15072-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A “good enough” optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence.
This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.    

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Brain Storm Optimization Algorithms: More Questions than Answers

    Pages 3-32

    Cheng, Shi (et al.)

  • Brain Storm Optimization for Test Task Scheduling Problem

    Pages 35-59

    Lu, Hui (et al.)

  • Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks

    Pages 61-77

    Xiong, Guojiang (et al.)

  • Multi-objective Differential-Based Brain Storm Optimization for Environmental Economic Dispatch Problem

    Pages 79-104

    Wu, Yali (et al.)

  • Enhancing the Local Search Ability of the Brain Storm Optimization Algorithm by Covariance Matrix Adaptation

    Pages 105-122

    Elsayed, Seham (et al.)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-15070-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-030-15069-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 114,39 €
price for Spain (gross)
  • Due: July 1, 2020
  • ISBN 978-3-030-15072-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Brain Storm Optimization Algorithms
Book Subtitle
Concepts, Principles and Applications
Editors
  • Shi Cheng
  • Yuhui Shi
Series Title
Adaptation, Learning, and Optimization
Series Volume
23
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-15070-9
DOI
10.1007/978-3-030-15070-9
Hardcover ISBN
978-3-030-15069-3
Softcover ISBN
978-3-030-15072-3
Series ISSN
1867-4534
Edition Number
1
Number of Pages
XV, 299
Number of Illustrations
50 b/w illustrations, 58 illustrations in colour
Topics

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