Multi-objective Optimization Using Evolutionary Algorithms
By (author) Kalyanmoy Deb
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Multi-objective Optimization Using Evolutionary Algorithms by Kalyanmoy Deb
Book DescriptionThe 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.
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Book DetailsISBN: 9780470743614
(242mm x 170mm x 29mm)
Publisher: John Wiley and Sons Ltd
Publish Date: 28-Oct-2008
Country of Publication: United States
Books By Author Kalyanmoy Deb
Multi-objective Optimization Using Evolutionary Algorithms, Hardback (May 2001)» View all books by Kalyanmoy Deb
Evolutionary algorithms are relatively new, powerful techniques used to find solutions to many real--world search and optimization problems. Focusing on these "thinking" algorithms, this book offers comprehensive coverage of these techniques, which are highly effective in finding multiple effective solutions in a single simulation run.
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