Multi-objective Optimization Using Evolutionary Algorithms 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Multi-objective Optimization Using Evolutionary Algorithms

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Deb, Kalyanmoy 作者
譯者
2009-3 出版日期
544 頁數
579.00元 價格
叢書系列
9780470743614 圖書編碼

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Multi-objective Optimization Using Evolutionary Algorithms 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Multi-objective Optimization Using Evolutionary Algorithms 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Multi-objective Optimization Using Evolutionary Algorithms 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Multi-objective Optimization Using Evolutionary Algorithms 在線電子書 著者簡介


Multi-objective Optimization Using Evolutionary Algorithms 在線電子書 著者簡介


Multi-objective Optimization Using Evolutionary Algorithms 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Multi-objective Optimization Using Evolutionary Algorithms 在線電子書 圖書描述

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.

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