| 书目名称 | Representations for Genetic and Evolutionary Algorithms | | 编辑 | Franz Rothlauf | | 视频video | | | 概述 | A theory of representations is not taken as given, but is developed and applied to real-world problems of commercial importance.Considers basic concepts of representations, such as redundancy, scaling | | 图书封面 |  | | 描述 | .In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has been focused on operators and test problems, while problem representation has often been taken as given. This book breaks with this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance. The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently. The book is written in an easy-readable style and is intended for researchers, practitioners, and students who want to learn about representations. This second edition extends the analysis of the basic properties of representations and introduces a new chapter on the analysis of direct representations.. | | 出版日期 | Book 2006Latest edition | | 关键词 | Evolution; GEA; Genetic and Evolutionary Algorithms; Integer Representations; Operator; Optimal Communica | | 版次 | 2 | | doi | https://doi.org/10.1007/3-540-32444-5 | | isbn_softcover | 978-3-642-06410-4 | | isbn_ebook | 978-3-540-32444-7 | | copyright | Springer-Verlag Berlin Heidelberg 2006 |
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发表于 2025-3-21 19:31:44
