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Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms (Paperback, Softcover reprint of hardcover 1st ed. 2009)
Loot Price: R2,957
Discovery Miles 29 570
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Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms (Paperback, Softcover reprint of hardcover 1st ed. 2009)
Series: Studies in Computational Intelligence, 186
Expected to ship within 10 - 15 working days
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Evolutionary algorithms are sophisticated search methods that have
been found to be very efficient and effective in solving complex
real-world multi-objective problems where conventional optimization
tools fail to work well. Despite the tremendous amount of work done
in the development of these algorithms in the past decade, many
researchers assume that the optimization problems are deterministic
and uncertainties are rarely examined. The primary motivation of
this book is to provide a comprehensive introduction on the design
and application of evolutionary algorithms for multi-objective
optimization in the presence of uncertainties. In this book, we
hope to expose the readers to a range of optimization issues and
concepts, and to encourage a greater degree of appreciation of
evolutionary computation techniques and the exploration of new
ideas that can better handle uncertainties. "Evolutionary
Multi-Objective Optimization in Uncertain Environments: Issues and
Algorithms" is intended for a wide readership and will be a
valuable reference for engineers, researchers, senior
undergraduates and graduate students who are interested in the
areas of evolutionary multi-objective optimization and
uncertainties.
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