Evolutionary algorithms for solving multi-objective problems
- Responsibility
- Carlos A. Coello Coello, Gary B. Lamont, David A. Van Veldhuizen.
- Language
- English. English.
- Digital
- text file
- Edition
- 2nd ed.
- Imprint
- New York : Springer, ©2007.
- Physical description
- 1 online resource (xxi, 800 pages) : illustrations
- Series
- Genetic and evolutionary computation series.
Online
Available online
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Description
Creators/Contributors
- Author/Creator
- Coello Coello, Carlos A.
- Contributor
- Lamont, Gary B.
- Van Veldhuisen, David A.
Contents/Summary
- Bibliography
- Includes bibliographical references (pages 627-760) and index.
- Contents
-
- Basic Concepts.- MOP Evolutionary Algorithm Approaches.- MOEA Local Search and Coevolution.- MOEA Test Suites.- MOEA Testing and Analysis.- MOEA Theory and Issues.- Applications.- MOEA Parallelization.- Multi-Criteria Decision Making.- Alternative Metaheuristics.
- (source: Nielsen Book Data)
- Publisher's 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.
(source: Nielsen Book Data)
Subjects
Bibliographic information
- Publication date
- 2007
- Series
- Genetic and evolutionary computation series
- Note
- Originally published in the series: "Genetic Algorithms and Evolutionary Computation."
- ISBN
- 9780387367972
- 0387367977
- 0387332545 (hd. bd.)
- 9780387332543 (hd. bd.)
- DOI
- 10.1007/978-0-387-36797-2.
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