| 書目名稱 | Cellular Genetic Algorithms | | 編輯 | Bernabe Dorronsoro,Enrique Alba | | 視頻video | http://file.papertrans.cn/224/223028/223028.mp4 | | 概述 | Key source for studying and designing cellular GAs, as well as a self-contained primary reference book for these algorithms.Throughout the book, there is an equal and parallel emphasis on both theory | | 叢書名稱 | Operations Research/Computer Science Interfaces Series | | 圖書封面 |  | | 描述 | .Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications. These methods can include local search (memetic algorithms), cooperation, parallelism, multi-objective, estimations of distributions, and self-adaptive ideas to extend their applicability...The methods are benchmarked against well-known metaheuristics like Genetic Algorithms, Tabu Search, heterogeneous GAs, Estimation of Distribution Algori | | 出版日期 | Book 2008 | | 關(guān)鍵詞 | Optimization algorithm; Optimization algorithms; algorithm; algorithms; bioinformatics; communication; evo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-77610-1 | | isbn_softcover | 978-1-4419-4594-5 | | isbn_ebook | 978-0-387-77610-1Series ISSN 1387-666X Series E-ISSN 2698-5489 | | issn_series | 1387-666X | | copyright | Springer-Verlag US 2008 |
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