| 書目名稱 | Genetic Programming Theory and Practice | | 編輯 | Rick Riolo,Bill Worzel | | 視頻video | http://file.papertrans.cn/383/382596/382596.mp4 | | 叢書名稱 | Genetic Programming | | 圖書封面 |  | | 描述 | .Genetic Programming Theory and Practice. explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan‘s Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza‘s development of human-competitive electronic circuit designs; David Goldberg‘s application of "competent GA" methodology to GP; Jason Daida‘s discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland‘s essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory. . | | 出版日期 | Book 2003 | | 關(guān)鍵詞 | algorithms; circuit design; complex system; evolutionary algorithm; genetic programming; learning; machine | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-8983-3 | | isbn_softcover | 978-1-4613-4747-7 | | isbn_ebook | 978-1-4419-8983-3Series ISSN 1566-7863 | | issn_series | 1566-7863 | | copyright | Springer Science+Business Media New York 2003 |
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