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Wiley Multi-Objective Optimization Using Evolutionary Algorithms (Wiley Paperback)

Name: Multi-Objective Optimization Using Evolutionary Algorithms (Wiley Paperback)
Brand: Wiley

Evolution

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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 Specifications

Brand: Wiley
Format: paperback
ASIN: 0470743611
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Evolution
Domain: Amazon UK
Release Date: 19 February 2009
Listed Since: 26 September 2008

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Wiley Multi-Objective Optimization Using Evolutionary Algorithms (Wiley Paperback)

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