| 书目名称 | Genetic Programming Theory and Practice XVI | | 编辑 | Wolfgang Banzhaf,Lee Spector,Leigh Sheneman | | 视频video | | | 概述 | Provides papers describing cutting-edge work on the theory and applications of genetic programming (GP).Offers large-scale, real-world applications (big data) of GP to a variety of problem domains, in | | 丛书名称 | Genetic and Evolutionary Computation | | 图书封面 |  | | 描述 | .These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.. | | 出版日期 | Book 2019 | | 关键词 | Genetic Programming; Genetic Programming Theory; Genetic Programming Applications; Symbolic Regression; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-04735-1 | | isbn_ebook | 978-3-030-04735-1Series ISSN 1932-0167 Series E-ISSN 1932-0175 | | issn_series | 1932-0167 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 17:39:23
