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Metaheuristics: Outlines, MATLAB Codes and Examples

  • Ali Kaveh
  • Taha Bakhshpoori

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ali Kaveh, Taha Bakhshpoori
    Pages 1-6
  3. Ali Kaveh, Taha Bakhshpoori
    Pages 7-17
  4. Ali Kaveh, Taha Bakhshpoori
    Pages 19-30
  5. Ali Kaveh, Taha Bakhshpoori
    Pages 31-40
  6. Ali Kaveh, Taha Bakhshpoori
    Pages 41-49
  7. Ali Kaveh, Taha Bakhshpoori
    Pages 51-65
  8. Ali Kaveh, Taha Bakhshpoori
    Pages 67-77
  9. Ali Kaveh, Taha Bakhshpoori
    Pages 79-96
  10. Ali Kaveh, Taha Bakhshpoori
    Pages 97-111
  11. Ali Kaveh, Taha Bakhshpoori
    Pages 113-121
  12. Ali Kaveh, Taha Bakhshpoori
    Pages 123-135
  13. Ali Kaveh, Taha Bakhshpoori
    Pages 137-152
  14. Ali Kaveh, Taha Bakhshpoori
    Pages 153-165
  15. Ali Kaveh, Taha Bakhshpoori
    Pages 167-177
  16. Ali Kaveh, Taha Bakhshpoori
    Pages 179-190

About this book

Introduction

The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework.
Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics.
The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.

Keywords

meta-heuristic algorithms particle swarm optimization colliding bodies optimization pseudo code Matlab code

Authors and affiliations

  • Ali Kaveh
    • 1
  • Taha Bakhshpoori
    • 2
  1. 1.School of Civil EngineeringIran University of Science and Technology, NarmakTehranIran
  2. 2.Faculty of Technology and Engineering, Department of Civil EngineeringUniversity of Guilan, East of GuilanRudsar, VajargahIran

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-04067-3
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-04066-6
  • Online ISBN 978-3-030-04067-3
  • Buy this book on publisher's site