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Find more info., search and price compare for Multi-Objective Optimization Using Evolutionary Algorithms (Wiley Paperback) by Kalyanmoy Deb Binding: Paperback, 536 pages Publisher: Wiley Weight: 1.94 pound Dimension: H: 1.18 x L: 9.53 x W: 6.54 inches ISBN 10: 0470743611 ISBN 13: 9780470743614 Click here to search for this book and compare price at 40+ bookstores with AddALL.com! If you cannot find this book in our new and in print search, be sure to try our used and out of print search too! |
Book Description: 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. 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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