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Evolutionary Algorithms For Solving Multi-Objective Problems (Genetic And Evolutionary Computation)

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.

Series: Genetic and Evolutionary Computation

Hardcover: 800 pages

Publisher: Springer; 2nd edition (September 18, 2007)

Language: English

ISBN-10: 0387332545

ISBN-13: 978-0387332543

Product Dimensions: 6.1 x 1.7 x 9.2 inches

Shipping Weight: 2.8 pounds (View shipping rates and policies)

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Best Sellers Rank: #1,430,801 in Books (See Top 100 in Books) #18 in Books > Computers & Technology > Programming > Algorithms > Genetic #212 in Books > Science & Math > Mathematics > Applied > Linear Programming #294 in Books > Textbooks > Computer Science > Algorithms

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