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Evolutionary Multiobjective Optimization

Theoretical Advances and Applications

  • Ajith Abraham
  • Lakhmi Jain
  • Robert Goldberg

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Ajith Abraham, Lakhmi Jain
    Pages 1-6
  3. Christine L. Mumford-Valenzuela
    Pages 55-79
  4. Kalyanmoy Deb, Lothar Thiele, Marco Laumanns, Eckart Zitzler
    Pages 105-145
  5. D. Dumitrescu, Crina Groşan, Mihai Oltean
    Pages 167-199
  6. Tomoyuki Hiroyasu, Mitsunori Miki, Jiro Kamiura, Shinya Watanabe, Hiro Hiroyasu
    Pages 201-227
  7. Efrén Mezura-Montes, Carlos A. Coello Coello
    Pages 229-254
  8. Nikos D. Lagaros, Manolis Papadrakakis, Vagelis Plevris
    Pages 273-300
  9. Back Matter
    Pages 301-302

About this book

Introduction

Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental definitions, several complex test functions and a practical problem involving the multiobjective optimization of space structures under static and seismic loading conditions used to illustrate the various multiobjective optimization concepts.

Important features include:

  • Detailed overview of all the multiobjective optimization paradigms using evolutionary algorithms
  • Excellent coverage of timely, advanced multiobjective optimization topics
  • State-of-the-art theoretical research and application developments
  • Chapters authored by pioneers in the field

Academics and industrial scientists as well as engineers engaged in research, development and application of evolutionary algorithm based Multiobjective Optimization will find the comprehensive coverage of this book invaluable.

Keywords

Computer Data Structures Genetic Algorithms Multi-Criteria Optimization algorithms automata evolutionary algorithm optimization

Editors and affiliations

  • Ajith Abraham
    • 1
  • Lakhmi Jain
    • 2
  • Robert Goldberg
    • 3
  1. 1.Department of Computer ScienceOklahoma State UniversityUSA
  2. 2.KES CenterUniversity of South AustraliaAustralia
  3. 3.Department of Computer ScienceQueens CollegeNew YorkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/1-84628-137-7
  • Copyright Information Springer-Verlag London Limited 2005
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-85233-787-2
  • Online ISBN 978-1-84628-137-2
  • Buy this book on publisher's site