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- W1646992054 abstract "In this paper we describe a meta-level evolutionary system that uses a meta-level GA to evolve strategies that perform better than known good strategies on a test bed of mathematical optimization problems. We examine the effects of the meta-level components and parameters on the problem set in order to help others in choosing the components and parameters for their meta-GAs." @default.
- W1646992054 created "2016-06-24" @default.
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- W1646992054 date "2004-09-28" @default.
- W1646992054 modified "2023-09-26" @default.
- W1646992054 title "Evolution to the Xtreme: evolving evolutionary strategies using a meta-level approach" @default.
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- W1646992054 doi "https://doi.org/10.1109/cec.2004.1330834" @default.
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