Multi-objective Optimization Using Evolutionary Algorithms

Kalyanmoy Deb

ISBN 10: 0470743611 / ISBN 13: 9780470743614

Published by John Wiley & Sons Inc, 2009

About this Item

Comprehensive coverage of this growing area of research. Carefully introduces each algorithm with examples and in-depth discussion. Includes many applications to real-world problems, including engineering design and scheduling. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms. Num Pages: 544 pages, black & white illustrations, black & white tables, maps, figures. BIC Classification: PBW. Category: (P) Professional & Vocational. Dimension: 242 x 170 x 29. Weight in Grams: 868. . 2009. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780470743614

Bibliographic Details

Title: Multi-objective Optimization Using ...

Publisher: John Wiley & Sons Inc

Publication Date: 2009

Binding: Soft cover

Condition: New

About this title

Synopsis:

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run. Comrephensive coverage of this growing area of research. Carefully introduces each algorithm with examples and in-depth discussion. Includes many applications to real-world problems, including engineering design and scheduling. Includes discussion of advanced topics and future research. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches. This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.

Product Description:

Title: Multi-objective Optimization Using Evolutionary Algorithms <>Binding: Paperback <>Author: Deb, Kalyanmoy <>Publisher: Wiley-Blackwell