Advanced Optimization by Nature-Inspired Algorithms

  • Omid Bozorg-Haddad

Part of the Studies in Computational Intelligence book series (SCI, volume 720)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Babak Zolghadr-Asli, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 1-8
  3. Mahdi Bahrami, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 9-18
  4. Hossein Rezaei, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 19-30
  5. Atiyeh Bozorgi, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 31-38
  6. Saba Jafari, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 39-49
  7. Parisa Sarzaeim, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 51-58
  8. Marzie Azad, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 59-67
  9. Babak Zolghadr-Asli, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 69-79
  10. Hossein Rezaei, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 81-91
  11. Sahar Mohammad-Azari, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 93-103
  12. Melika Mani, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 105-116
  13. Mehri Abdi-Dehkordi, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 117-130
  14. Mahdi Bahrami, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 131-141
  15. Babak Zolghadr-Asli, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 143-149
  16. Babak Zolghadr-Asli, Omid Bozorg-Haddad, Xuefeng Chu
    Pages 151-159

About this book

Introduction

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.

Keywords

Pattern Search (PS) Algorithm Genetic Algorithm (GA) Simulated Annealing (SA) Tabu Search Algorithm (TSA) Ant Colony Optimization (ACO) Particle Swarm Optimization (PSO) Differential Evolution (DE) Harmony Search (HS) Shuffled Frog-Leaping Algorithm (SFLA) Honey-Bee Mating Optimization (HBMO) Invasive Weed Optimization (IWO) Central Force Optimization (CFO) Biogeography-Based Optimization (BBO) Firefly Algorithm (FA) Gravity Search Algorithm (GSA) Bat Algorithm (BA) Plant Propagation Algorithm (PPA) Water Cycle Algorithm (WCA) Symbiotic Organisms Search (SOS) Algorithm Comprehensive Evolutionary Algorithm (CEA)

Editors and affiliations

  • Omid Bozorg-Haddad
    • 1
  1. 1.Irrigation & Reclamation EngineeringUniversity of Tehran College of Agriculture & Natural ResourcesKarajIran

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-5221-7
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-5220-0
  • Online ISBN 978-981-10-5221-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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