书目名称 | Genetic Programming Theory and Practice V | 编辑 | Rick Riolo,Terence Soule,Bill Worzel | 视频video | | 概述 | Discusses hurdles in solving large-scale applications.Describes techniques including fitness and age layered populations, code reuse through caching, archives and libraries, Pareto optimization, pre- | 丛书名称 | Genetic and Evolutionary Computation | 图书封面 |  | 描述 | .Genetic Programming Theory and Practice V was developed from the fifth 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...The work covers applications of GP to a wide variety of domains, including bioinformatics, symbolic regression for system modeling, financial modeling, circuit design and robot controllers. This volume 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 2008 | 关键词 | Algorithms; Multi-agent system; artificial intelligence; bioinformatics; circuit design; classification; e | 版次 | 1 | doi | https://doi.org/10.1007/978-0-387-76308-8 | isbn_softcover | 978-1-4419-4547-1 | isbn_ebook | 978-0-387-76308-8Series ISSN 1932-0167 Series E-ISSN 1932-0175 | issn_series | 1932-0167 | copyright | Springer-Verlag US 2008 |
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