书目名称 | Genetic Programming Theory and Practice IV | 编辑 | Rick Riolo,Terence Soule,Bill Worzel | 视频video | | 概述 | Discusses the hurdles faced in solving large-scale, cutting edge applications.Describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, | 丛书名称 | Genetic and Evolutionary Computation | 图书封面 |  | 描述 | .Genetic Programming Theory and Practice IV. was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application...This volume represents a watershed moment in the GP field in that GP has begun to move from hand-crafted software used primarily in academic research, to an engineering methodology applied to commercial applications. It is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.. | 出版日期 | Book 2007 | 关键词 | Automat; Boosting; algorithm; algorithms; artificial intelligence; classification; complex system; genetic | 版次 | 1 | doi | https://doi.org/10.1007/978-0-387-49650-4 | isbn_softcover | 978-1-4419-4123-7 | isbn_ebook | 978-0-387-49650-4Series ISSN 1932-0167 Series E-ISSN 1932-0175 | issn_series | 1932-0167 | copyright | Springer-Verlag US 2007 |
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