Metaheuristics and Optimization in Civil Engineering

  • Xin-She Yang
  • Gebrail Bekdaş
  • Sinan Melih Nigdeli

Part of the Modeling and Optimization in Science and Technologies book series (MOST, volume 7)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Xin-She Yang, Gebrail Bekdaş, Sinan Melih Nigdeli
    Pages 1-24
  3. Sinan Melih Nigdeli, Gebrail Bekdaş, Xin-She Yang
    Pages 25-42
  4. Mehmet Polat Saka, Serdar Carbas, Ibrahim Aydogdu, Alper Akin
    Pages 43-73
  5. S. O. Degertekin, Zong Woo Geem
    Pages 75-93
  6. Vedat Toğan, Ayşe Turhan Daloğlu
    Pages 115-134
  7. Fereidoon Moghadas Nejad, Ashkan Allahyari Nik, H. Zakeri
    Pages 135-164
  8. Gebrail Bekdaş, Sinan Melih Nigdeli, Xin-She Yang
    Pages 165-180
  9. K. S. Pandya, J. K. Pandya, S. K. Joshi, H. K. Mewada
    Pages 181-197
  10. Omid Bozorg Haddad, Navid Ghajarnia, Mohammad Solgi, Hugo A. Loáiciga, Miguel Mariño
    Pages 199-233
  11. Ana Laura Costa, Maria Conceição Cunha, Paulo A. L. F. Coelho, Herbert H. Einstein
    Pages 235-253
  12. Yongquan Zhou, Qifang Luo, Jian Xie, Hongqing Zheng
    Pages 255-276

About this book


This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization problems in civil engineering. The first chapter offers a concise overview of different kinds of metaheuristic algorithms, explaining their advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for further reading. The remaining chapters report on advanced studies on the applications of certain metaheuristic algorithms to specific engineering problems. Genetic algorithm, bat algorithm, cuckoo search, harmony search and simulated annealing are just some of the methods presented and discussed step by step in real-application contexts, in which they are often used in combination with each other. Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering. It is also a valuable aid for both lectures and advanced engineering students.


Meta-Heuristic Search Methods Hybrid Metaheuristic Algorithms Nature-Inspired Algorithms Structural Design Optimization Highly Nonlinear Problems Optimum Design Problems Non-Convex Optimization Problems Optimum Seismic Design Optimal Reactive Power Dispatch Dynamic Multi-Objective Design

Editors and affiliations

  • Xin-She Yang
    • 1
  • Gebrail Bekdaş
    • 2
  • Sinan Melih Nigdeli
    • 3
  1. 1.School of Science and TechnologyMiddlesex UniversityLondonUnited Kingdom
  2. 2.Faculty of EngineeringIstanbul University Faculty of EngineeringIstanbulTurkey
  3. 3.Department of Civil EngineeringIstanbul UniversityIstanbulTurkey

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-26243-7
  • Online ISBN 978-3-319-26245-1
  • Series Print ISSN 2196-7326
  • Series Online ISSN 2196-7334
  • Buy this book on publisher's site