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  • Book
  • © 2005

Evolutionary Multiobjective Optimization

Theoretical Advances and Applications

  • Offers the first-ever comprehensive treatment of the developmental as well as application aspects of the "cutting edge” field of evolutionary computation based multi-criteria optimisation
  • The only volume that addresses both the latest conceptual developments and numerous insights into their most effective uses
  • A stellar collection of articles by top researchers in the field, the readers could expect to know the latest problem solving methodologies available and their success stories in several practical applications

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

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xviii
  2. Evolutionary Multiobjective Optimization

    • Ajith Abraham, Lakhmi Jain
    Pages 1-6
  3. A Simple Approach to Evolutionary Multiobjective Optimization

    • Christine L. Mumford-Valenzuela
    Pages 55-79
  4. Scalable Test Problems for Evolutionary Multiobjective Optimization

    • Kalyanmoy Deb, Lothar Thiele, Marco Laumanns, Eckart Zitzler
    Pages 105-145
  5. Evolving Continuous Pareto Regions

    • D. Dumitrescu, Crina Groşan, Mihai Oltean
    Pages 167-199
  6. MOGADES: Multi-Objective Genetic Algorithm with Distributed Environment Scheme

    • Tomoyuki Hiroyasu, Mitsunori Miki, Jiro Kamiura, Shinya Watanabe, Hiro Hiroyasu
    Pages 201-227
  7. Use of Multiobjective Optimization Concepts to Handle Constraints in Genetic Algorithms

    • Efrén Mezura-Montes, Carlos A. Coello Coello
    Pages 229-254
  8. Multiobjective Optimization of Space Structures under Static and Seismic Loading Conditions

    • Nikos D. Lagaros, Manolis Papadrakakis, Vagelis Plevris
    Pages 273-300
  9. Back Matter

    Pages 301-302

About this book

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.

Editors and Affiliations

  • Department of Computer Science, Oklahoma State University, USA

    Ajith Abraham

  • KES Center, University of South Australia, Australia

    Lakhmi Jain

  • Department of Computer Science, Queens College, New York, USA

    Robert Goldberg

Bibliographic Information

Buy it now

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
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