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Evolutionary Algorithms for Solving Multi-Objective Problems. Second Edition 2007
・ISBN 978-1-4899-9460-8 paper EUR 89.99
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| 著者・編者 | Coello Coello, Carlos / Lamont, Gary B. / van Veldhuizen, David A., |
|---|---|
| シリーズ | (Genetic and Evolutionary Computation) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2014 |
| ページ数 | 800 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-34385＞ |
解説
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.