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Metaheuristics and Optimization in Civil Engineering

  • Book
  • © 2016

Overview

Editors:
  1. Xin-She Yang

    1. School of Science and Technology, Middlesex University, London, United Kingdom

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  2. Gebrail Bekdaş

    1. Faculty of Engineering, Istanbul University Faculty of Engineering, Istanbul, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  3. Sinan Melih Nigdeli

    1. Department of Civil Engineering, Istanbul University, Istanbul, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  • Offers a snapshot of cutting-edge research in optimization and metaheuristics for civil engineering applications
  • Provides readers with a concise yet complete description of key algorithms
  • Describes practical case studies and implementation details for each of the presented algorithms
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xi
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  2. Review and Applications of Metaheuristic Algorithms in Civil Engineering

    • Xin-She Yang, Gebrail Bekdaş, Sinan Melih Nigdeli
    Pages 1-24

  3. Application of the Flower Pollination Algorithm in Structural Engineering

    • Sinan Melih Nigdeli, Gebrail Bekdaş, Xin-She Yang
    Pages 25-42

  4. Use of Swarm Intelligence in Structural Steel Design Optimization

    • Mehmet Polat Saka, Serdar Carbas, Ibrahim Aydogdu, Alper Akin
    Pages 43-73

  5. Metaheuristic Optimization in Structural Engineering

    • S. O. Degertekin, Zong Woo Geem
    Pages 75-93

  6. Performance-Based Optimum Seismic Design of Steel Dual Braced Frames by Bat Algorithm

    • Saeed Gholizadeh, Hamed Poorhoseini
    Pages 95-114

  7. Genetic Algorithms for Optimization of 3D Truss Structures

    • Vedat Toğan, Ayşe Turhan Daloğlu
    Pages 115-134

  8. Hybrid Meta-heuristic Application in the Asphalt Pavement Management System

    • Fereidoon Moghadas Nejad, Ashkan Allahyari Nik, H. Zakeri
    Pages 135-164

  9. Optimum Reinforced Concrete Design by Harmony Search Algorithm

    • Gebrail Bekdaş, Sinan Melih Nigdeli, Xin-She Yang
    Pages 165-180

  10. Reactive Power Optimization in Wind Power Plants Using Cuckoo Search Algorithm

    • K. S. Pandya, J. K. Pandya, S. K. Joshi, H. K. Mewada
    Pages 181-197

  11. A DSS-Based Honeybee Mating Optimization (HBMO) Algorithm for Single- and Multi-objective Design of Water Distribution Networks

    • Omid Bozorg Haddad, Navid Ghajarnia, Mohammad Solgi, Hugo A. Loáiciga, Miguel Mariño
    Pages 199-233

  12. Application of the Simulated Annealing Algorithm for Transport Infrastructure Planning

    • Ana Laura Costa, Maria Conceição Cunha, Paulo A. L. F. Coelho, Herbert H. Einstein
    Pages 235-253

  13. A Hybrid Bat Algorithm with Path Relinking for the Capacitated Vehicle Routing Problem

    • Yongquan Zhou, Qifang Luo, Jian Xie, Hongqing Zheng
    Pages 255-276

  14. Hybrid Metaheuristic Algorithms in Geotechnical Engineering

    • Y. M. Cheng
    Pages 277-302
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Keywords

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.

Editors and Affiliations

  • School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

  • Faculty of Engineering, Istanbul University Faculty of Engineering, Istanbul, Turkey

    Gebrail Bekdaş

  • Department of Civil Engineering, Istanbul University, Istanbul, Turkey

    Sinan Melih Nigdeli

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