01811nam a2200181 a 4500 ASIN0470743611 20141001201843.0 141001s2009 xxu eng d 0470743611 (paperback) $87.00 9780470743614 (paperback) Deb, Kalyanmoy. Multi-objective optimization using evolutionary algorithms / Kalyanmoy Deb. 1st ed. [S.l.] : Wiley, 2005. 544 p. ; 25 cm. 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. Amazon.com http://www.amazon.com/exec/obidos/ASIN/0470743611/chopaconline-20 10730 10730 0 0 0 0 QUESTCL QUESTCL 2014-10-01 634.00 0 519.3DEB 32597 2014-10-01 00:00:00 2014-10-01 BK 0 0 0 0 QUESTCL QUESTCL 2014-10-01 634.00 0 519.3DEB 32598 2014-10-01 00:00:00 2014-10-01 BK