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Evolutionary Algorithms for Solving Multi-Objective Problems

2nd Edition

By Carlos Coello Coello , Gary B. Lamont , David A. van Veldhuizen

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This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. It provides links to a complete set of teaching tutorials, exercises and solutions.

Full Description

  • ISBN13: 978-0-3873-3254-3
  • 822 Pages
  • User Level: Students
  • Publication Date: August 26, 2007
  • Available eBook Formats: PDF
  • eBook Price: $124.00
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Full Description
Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.
Table of Contents

Table of Contents

  1. Basic Concepts.
  2. Evolutionary Algorithm MOP Approaches.
  3. MOEA Test Suites.
  4. MOEA Testing and Analysis.
  5. MOEA Theory and Issues.
  6. Applications.
  7. MOEA Parallelization.
  8. Multi
  9. Criteria Decision Making.
  10. Special Topics.
  11. Appendix A: MOEA Classification and Technique Analysis.
  12. Appendix B: MOPs in the Literature.
  13. Appendix C: Ptrue and PFtrue for Selected Numberic MOPs.
  14. Appendix D: Ptrue and PFtrue for Side
  15. constrained MOPs.
  16. Appendix E: MOEA Software Availability.
  17. Appendix F: MOEA
  18. Related Information.
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