| 书目名称 | Metaheuristics for Dynamic Optimization | | 编辑 | Enrique Alba,Amir Nakib,Patrick Siarry | | 视频video | | | 概述 | Recent research on Metaheuristics for Dynamic Optimization.Carefully edited book.Written by leading experts in the field | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of the present state in solving complex problems quickly draws a clear picture: problems that change in time, having noise and uncertainties in their definition are becoming.very important. The tools to face these problems are still to be built, since existing techniques are either slow or inefficient in tracking the many global optima that those problems are presenting to the solver technique..Thus, this book is devoted to include several of the most important advances in solving dynamic problems. Metaheuristics are the more popular tools to this end, and then we can find in the book how to best use genetic algorithms, particle swarm, ant colonies, immune systems, variable neighborhood search, and many other bioinspired.techniques. Also, neural network solutions are considered in this book. .Both, theory and practice have been addressed in the chapters of the book. Mathematical background and methodological tools in solving this new class of problems and applications are included. From the applications point of view, not just a | | 出版日期 | Book 2013 | | 关键词 | Computational Intelligence; Dynamic Optimization; Metaheuristics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-30665-5 | | isbn_softcover | 978-3-642-44370-1 | | isbn_ebook | 978-3-642-30665-5Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2013 |
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发表于 2025-3-21 18:39:21
