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Titlebook: Genetic Programming Theory and Practice XIII; Rick Riolo,W.P.‘Worzel,Arthur Kordon Book 2016 Springer International Publishing Switzerland

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31#
發(fā)表于 2025-3-27 00:23:31 | 只看該作者
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發(fā)表于 2025-3-27 13:51:07 | 只看該作者
Wissenschaftliche Publikationen,e broadly, we illustrate the value of recording and analyzing this level of detail, both as a means of understanding the dynamics of particular runs, and as a way of generating questions and ideas for subsequent, broader study.
36#
發(fā)表于 2025-3-27 20:56:33 | 只看該作者
Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming,e on several benchmark problems. As a result of the multi-objective approach the appropriate model length and the functions included in the models are automatically determined without the necessity to specify them a-priori.
37#
發(fā)表于 2025-3-28 00:29:21 | 只看該作者
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs,e broadly, we illustrate the value of recording and analyzing this level of detail, both as a means of understanding the dynamics of particular runs, and as a way of generating questions and ideas for subsequent, broader study.
38#
發(fā)表于 2025-3-28 03:54:23 | 只看該作者
Book 2016retical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synth
39#
發(fā)表于 2025-3-28 09:10:36 | 只看該作者
1932-0167 cations of GP to a variety of problem domains, including finThese 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 th
40#
發(fā)表于 2025-3-28 12:39:41 | 只看該作者
Netzdienste der Deutschen Telekom,ed Evolutionary system, cross-validating solution candidates during a run. The system is tested with different numbers of validation segments using a real-world problem of classifying ICU blood-pressure time series.
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