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Titlebook: Evolutionary Computing; AISB Workshop, Leeds Terence C. Fogarty Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 algorith

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發(fā)表于 2025-3-28 15:14:49 | 只看該作者
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發(fā)表于 2025-3-28 19:23:27 | 只看該作者
https://doi.org/10.1007/978-3-319-95777-7n occurring at loci on the genotype, not expressed phenotypically but acting as control parameters for evolution. Motivations are presented drawing on examples of directed adaptation in nature and the field of optimised search. A model is described based on directed adaptation and the results of exp
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Identify and Analyze Program Documents, are difficult to tackle with conventional techniques, and indeed with standard ‘single species’ genetic algorithms, but which may be amenable to ‘multi-species’ coevolutionary genetic algorithms. It is argued that such algorithms are most coherent and effective when implemented as distributed genet
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https://doi.org/10.1007/978-94-011-7423-7in learning control systems. A rule-based control system is presented which uses only the genetic algorithm for learning individual control rules with immediate reinforcement after the firing of each rule. How this has been used for an industrial control problem is described as an example of its ope
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