| 书目名称 | Genetic Algorithms: Principles and Perspectives | | 副标题 | A Guide to GA Theory | | 编辑 | Colin R. Reeves,Jonathan E. Rowe | | 视频video | | | 概述 | Is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops | | 丛书名称 | Operations Research/Computer Science Interfaces Series | | 图书封面 |  | | 描述 | .Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory. is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems. | | 出版日期 | Book 2002 | | 关键词 | Stochastic Processes; algorithms; dynamical systems; genetic algorithms; linear algebra; optimization | | 版次 | 1 | | doi | https://doi.org/10.1007/b101880 | | isbn_softcover | 978-1-4757-7818-2 | | isbn_ebook | 978-0-306-48050-8Series ISSN 1387-666X Series E-ISSN 2698-5489 | | issn_series | 1387-666X | | copyright | Springer Science+Business Media New York 2002 |
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发表于 2025-3-21 17:45:50
