Evolutionary Algorithms for Solving Multi-Objective Problems 2007 Edition Contributor(s): Coello Coello, Carlos (Author), Lamont, Gary B. (Author), Van Veldhuizen, David A. (Author) |
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ISBN: 1489994602 ISBN-13: 9781489994608 Publisher: Springer OUR PRICE: $94.99 Product Type: Paperback - Other Formats Published: October 2014 |
Additional Information |
BISAC Categories: - Computers | Computer Science - Mathematics | Applied - Mathematics | Probability & Statistics - General |
Dewey: 004.015 |
Series: Genetic and Evolutionary Computation |
Physical Information: 1.63" H x 6.14" W x 9.21" (2.49 lbs) 800 pages |
Descriptions, Reviews, Etc. |
Publisher 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. |