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Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
by Carlos A Coello Coello ; Gary B Lamont ; David A Van Veldhuizen
Binding: Hardcover, 2nd edition, 800 pages
Publisher: Springer
Weight: 2.75 pound
Dimension: H: 1.7 x L: 9.3 x W: 6.4 inches
ISBN 10: 0387332545
ISBN 13: 9780387332543
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Book 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.

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