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Evolutionary algorithms for solving multi-objective problems / [Book] Carlos A. Coello Coello, Gary B. Lamont, David A. Van Veldhuizen.

By: Contributor(s): Material type: TextTextSeries: Genetic and evolutionary computationPublication details: London : London : Springer, c2007.Edition: 2nd edDescription: xxi, 800 p. : ill. ; 24 cmISBN:
  • 9780387332543 (hardback)
  • 0387332545 (hardback)
  • 9780387367972 (ebook)
Subject(s): DDC classification:
  • 005.1 22
Other classification:
  • 005.1
Summary: 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. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.
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Previous ed.: New York: Kluwer Academic, 2002.

Formerly CIP. Uk

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. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

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