Evolutionary Algorithms in Engineering Applications

  • Dipankar Dasgupta
  • Zbigniew Michalewicz

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Dipankar Dasgupta, Zbigniew Michalewicz
      Pages 3-28
    3. Simon Ronald
      Pages 29-44
  3. Architecture and Civil Engineering

    1. Front Matter
      Pages 45-45
    2. John S. Gero, Vladimir A. Kazakov, Thorsten Schnier
      Pages 47-68
    3. Rodolphe Le Riche, Raphael T. Haftka
      Pages 87-102
    4. Sushil J. Louis, Fang Zhao, Xiaogang Zeng
      Pages 103-116
    5. J. P. King, H. S. Fahmy, M. W. Wentzel
      Pages 117-133
    6. Gerald P. Roston
      Pages 135-152
  4. Computer Science and Engineering

    1. Front Matter
      Pages 153-153
    2. Chrisila C. Pettey, Patricia White, Larry Dowdy, Darrell Burkhead
      Pages 155-172
    3. Wee Keong Ng, Sunghyun Choi, Chinya Ravishankar
      Pages 173-188
    4. Walter Cedeño, V. Rao Vemuri
      Pages 189-206
    5. Sandip Sen, Leslie Knight, Kevin Legg
      Pages 223-239
    6. Shumeet Baluja, Rahul Sukthankar, John Hancock
      Pages 241-257
    7. Hitoshi Iba, Masaya Iwata, Tetsuya Higuchi
      Pages 259-276

About this book


Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.


Datenverarbeitung algorithm algorithms architecture computer computer science data compression electronics evolutionary algorithm genetic algorithms linear optimization mechanism model optimization programming

Editors and affiliations

  • Dipankar Dasgupta
    • 1
  • Zbigniew Michalewicz
    • 2
  1. 1.Mathematical Sciences DepartmentUniversity of MemphisMemphisUSA
  2. 2.Department of Computer ScienceUniversity of North CarolinaCharlotteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-03423-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-08282-5
  • Online ISBN 978-3-662-03423-1
  • About this book