000			01811nam a2200181 a 4500
001			ASIN0470743611
005			20141001201843.0
008			141001s2009 xxu eng d
020			_a0470743611 (paperback) _c$87.00
020			_a9780470743614 (paperback)
100	1		_aDeb, Kalyanmoy.
245	1	0	_aMulti-objective optimization using evolutionary algorithms / _cKalyanmoy Deb.
250			_a1st ed.
260			_a[S.l.] : _bWiley, _c2005.
300			_a544 p. ; _c25 cm.
520			_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.
856	4	0	_3Amazon.com _uhttp://www.amazon.com/exec/obidos/ASIN/0470743611/chopaconline-20
999			_c10730 _d10730