Skip to main content
SpringerLink
Log in

Evolutionary Algorithms in Engineering Applications

  • Book
  • © 1997

Overview

Editors:
  1. Dipankar Dasgupta

    1. Mathematical Sciences Department, University of Memphis, Memphis, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Zbigniew Michalewicz

    1. Department of Computer Science, University of North Carolina, Charlotte, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 189.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (30 chapters)

  1. Front Matter

    Pages I-XXI
    Download chapter PDF

  2. Introduction

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Evolutionary Algorithms — An Overview

      • Dipankar Dasgupta, Zbigniew Michalewicz
      Pages 3-28

    3. Robust Encodings in Genetic Algorithms

      • Simon Ronald
      Pages 29-44

  3. Architecture and Civil Engineering

    1. Front Matter

      Pages 45-45
      Download chapter PDF

    2. Genetic Engineering and Design Problems

      • John S. Gero, Vladimir A. Kazakov, Thorsten Schnier
      Pages 47-68

    3. The Generation of Form Using an Evolutionary Approach

      • M. A. Rosenman
      Pages 69-85

    4. Evolutionary Optimization of Composite Structures

      • Rodolphe Le Riche, Raphael T. Haftka
      Pages 87-102

    5. Flaw Detection and Configuration with Genetic Algorithms

      • Sushil J. Louis, Fang Zhao, Xiaogang Zeng
      Pages 103-116

    6. A Genetic Algorithm Approach for River Management

      • J. P. King, H. S. Fahmy, M. W. Wentzel
      Pages 117-133

    7. Hazards in Genetic Design Methodologies

      • Gerald P. Roston
      Pages 135-152

  4. Computer Science and Engineering

    1. Front Matter

      Pages 153-153
      Download chapter PDF

    2. The Identification and Characterization of Workload Classes

      • Chrisila C. Pettey, Patricia White, Larry Dowdy, Darrell Burkhead
      Pages 155-172

    3. Lossless and Lossy Data Compression

      • Wee Keong Ng, Sunghyun Choi, Chinya Ravishankar
      Pages 173-188

    4. Database Design with Genetic Algorithms

      • Walter Cedeño, V. Rao Vemuri
      Pages 189-206

    5. Designing Multiprocessor Scheduling Algorithms Using a Distributed Genetic Algorithm System

      • Kelvin K. Yue, David J. Lilja
      Pages 207-222

    6. Prototype Based Supervised Concept Learning Using Genetic Algorithms

      • Sandip Sen, Leslie Knight, Kevin Legg
      Pages 223-239

    7. Prototyping Intelligent Vehicle Modules Using Evolutionary Algorithms

      • Shumeet Baluja, Rahul Sukthankar, John Hancock
      Pages 241-257

    8. Gate-Level Evolvable Hardware: Empirical Study and Application

      • Hitoshi Iba, Masaya Iwata, Tetsuya Higuchi
      Pages 259-276

    9. Physical Design of VLSI Circuits and the Application of Genetic Algorithms

      • Jens Lienig
      Pages 277-292
Back to top

Keywords

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.

Editors and Affiliations

  • Mathematical Sciences Department, University of Memphis, Memphis, USA

    Dipankar Dasgupta

  • Department of Computer Science, University of North Carolina, Charlotte, USA

    Zbigniew Michalewicz

Bibliographic Information

  • Book Title: Evolutionary Algorithms in Engineering Applications

  • Editors: Dipankar Dasgupta, Zbigniew Michalewicz

  • DOI: https://doi.org/10.1007/978-3-662-03423-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1997

  • Hardcover ISBN: 978-3-540-62021-1Published: 20 May 1997

  • Softcover ISBN: 978-3-642-08282-5Published: 01 December 2010

  • eBook ISBN: 978-3-662-03423-1Published: 29 June 2013

  • Edition Number: 1

  • Number of Pages: XXI, 555

  • Topics: Programming Techniques, Artificial Intelligence, Computer-Aided Engineering (CAD, CAE) and Design, Complexity

Publish with us

Policies and ethics

Back to top

Search

Navigation