| 书目名称 | Genetic Programming Theory and Practice X | | 编辑 | Rick Riolo,Ekaterina Vladislavleva,Jason H. Moore | | 视频video | | | 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: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combinin | | 出版日期 | Book 2013 | | 关键词 | Artificial Evolution; Evolution of Models; Feature Selection; Genetic Programing Applications; Genetic P | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-6846-2 | | isbn_softcover | 978-1-4939-0068-8 | | isbn_ebook | 978-1-4614-6846-2Series ISSN 1932-0167 Series E-ISSN 1932-0175 | | issn_series | 1932-0167 | | copyright | Springer Science+Business Media New York 2013 |
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发表于 2025-3-21 16:13:15
