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Studies in Computational Intelligence

Advanced Optimization by Nature-Inspired Algorithms

Editors: Bozorg-Haddad, Omid (Ed.)

  • Collects a wide range of the most important algorithms which are useful in engineering
  • Provides a step-by-step presentation of each algorithm with guidelines for coding algorithms
  • Also provides a theoretical understanding as well as guidelines for practical implementation
  • Describes all the algorithms with similar attention to detail, thus facilitating their reading and learning
  • Relates the optimization algorithms to engineering optimization problems
  • Facilitates rapid and effective learning
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Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-981-10-5221-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-981-10-5220-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

About the authors

Dr. Omid Bozorg-Haddad is a Professor at the department of irrigation and reclamation engineering, University of Tehran, Iran. His teaching and research interests include water resources and environmental systems analysis, planning, and management as well as application of optimization algorithms in water related systems. He has published more than 100 articles in peer reviewed journals and 100 papers in conference proceedings. He has also supervised more than 50 M.Sc. and Ph.D. students.

Prof. Hugo Loaiciga served as the Water Commissioner for the City of Santa Barbara for six years before joining the Department in 1988. He received the 2002 Service to the Profession Award from the American Society of Civil Engineers and the Environmental and Water Resources Institute for his "longstanding contributions to research and technical activities" of the two groups, and he was elected a Fellow of the American Society of Civil Engineers for his "outstanding contributions to the planning, analysis, and operation of water resources engineering" in 2007.

Table of contents (15 chapters)

  • Introduction

    Zolghadr-Asli, Babak (et al.)

    Pages 1-8

  • Cat Swarm Optimization (CSO)¬†Algorithm

    Bahrami, Mahdi (et al.)

    Pages 9-18

  • League Championship Algorithm (LCA)

    Rezaei, Hossein (et al.)

    Pages 19-30

  • Anarchic Society Optimization (ASO) Algorithm

    Bozorgi, Atiyeh (et al.)

    Pages 31-38

  • Cuckoo Optimization Algorithm (COA)

    Jafari, Saba (et al.)

    Pages 39-49

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-981-10-5221-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-981-10-5220-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advanced Optimization by Nature-Inspired Algorithms
Editors
  • Omid Bozorg-Haddad
Series Title
Studies in Computational Intelligence
Series Volume
720
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-10-5221-7
DOI
10.1007/978-981-10-5221-7
Hardcover ISBN
978-981-10-5220-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XV, 159
Number of Illustrations
30 b/w illustrations, 4 illustrations in colour
Topics