01782nam a2200169 a 4500001001500000005001700015008004100032020003500073020003000108100002000138245008100158250001200239260002800251300002100279520123000300856008201530ASIN047074361120141001201843.0141001s2009    xxu                 eng d  a0470743611 (paperback)c$87.00  a9780470743614 (paperback)1 aDeb, Kalyanmoy.10aMulti-objective optimization using evolutionary algorithms /cKalyanmoy Deb.  a1st ed.  a[S.l.] :bWiley,c2005.  a544 p. ;c25 cm.  aThe 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.403Amazon.comuhttp://www.amazon.com/exec/obidos/ASIN/0470743611/chopaconline-20