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Computational Intelligence for Optimization (Paperback, Softcover reprint of the original 1st ed. 1997)
Loot Price: R2,773
Discovery Miles 27 730
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Computational Intelligence for Optimization (Paperback, Softcover reprint of the original 1st ed. 1997)
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The field of optimization is interdisciplinary in nature, and has
been making a significant impact on many disciplines. As a result,
it is an indispensable tool for many practitioners in various
fields. Conventional optimization techniques have been well
established and widely published in many excellent textbooks.
However, there are new techniques, such as neural networks,
simulated anneal ing, stochastic machines, mean field theory, and
genetic algorithms, which have been proven to be effective in
solving global optimization problems. This book is intended to
provide a technical description on the state-of-the-art development
in advanced optimization techniques, specifically heuristic search,
neural networks, simulated annealing, stochastic machines, mean
field theory, and genetic algorithms, with emphasis on mathematical
theory, implementa tion, and practical applications. The text is
suitable for a first-year graduate course in electrical and
computer engineering, computer science, and opera tional research
programs. It may also be used as a reference for practicing
engineers, scientists, operational researchers, and other
specialists. This book is an outgrowth of a couple of special topic
courses that we have been teaching for the past five years. In
addition, it includes many results from our inter disciplinary
research on the topic. The aforementioned advanced optimization
techniques have received increasing attention over the last decade,
but relatively few books have been produced.
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