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Titlebook: Genetic Programming; 4th European Confere Julian Miller,Marco Tomassini,William B. Langdon Conference proceedings 2001 Springer-Verlag Berl

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书目名称Genetic Programming
副标题4th European Confere
编辑Julian Miller,Marco Tomassini,William B. Langdon
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Genetic Programming; 4th European Confere Julian Miller,Marco Tomassini,William B. Langdon Conference proceedings 2001 Springer-Verlag Berl
出版日期Conference proceedings 2001
关键词Adaptive Systems; Evolutionary Computation; Evolutionary Programming; Genetic Algorithms; Genetic Progra
版次1
doihttps://doi.org/10.1007/3-540-45355-5
isbn_softcover978-3-540-41899-3
isbn_ebook978-3-540-45355-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
The information of publication is updating

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0302-9743 Overview: Includes supplementary material: 978-3-540-41899-3978-3-540-45355-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/3-540-45355-5Adaptive Systems; Evolutionary Computation; Evolutionary Programming; Genetic Algorithms; Genetic Progra
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Julian Miller,Marco Tomassini,William B. LangdonIncludes supplementary material:
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Flipperspielen und Lebenskunst,dividual ROCs [.]. As expected in at least some cases better ROCs can be produced. We show genetic programming (GP) can automatically produce a combination of classifiers whose ROC is better than the convex hull of the supplied classifier’s ROCs.
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https://doi.org/10.1007/978-3-476-03030-6gramming. In this preliminary investigation, we run a series of comparative experiments on a simple test problem. Our results show that the adaptive algorithm is able to outperform its non-adaptive counterpart.
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Versicherung und Risikoforschunginvestigates the effect of encapsulating such subtrees by representing them as atoms in the terminal set, so that the subtree evaluations can be exploited as terminal data. The encapsulation scheme is compared against a second scheme which depends on random subtree selection. Empirical results show that both schemes improve upon standard GP.
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