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Titlebook: Evolutionary Algorithms; Lawrence David Davis,Kenneth Jong,L. Darrell Whitl Book 1999 Springer-Verlag New York,Inc. 1999 control.evolution

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樓主: Harrison
31#
發(fā)表于 2025-3-26 23:58:18 | 只看該作者
32#
發(fā)表于 2025-3-27 01:46:53 | 只看該作者
A Hierarchical Genetic Algorithm for System Identification and Curve Fitting with a Supercomputer Ibegins with an upper GA that searches for appropriate functional forms given a user defined set of primitives and the candidate independent variables. Each functional form is encoded as a tree structure, where variables, coefficients and functional primitives are linked. The functional forms are sen
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發(fā)表于 2025-3-27 08:26:38 | 只看該作者
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發(fā)表于 2025-3-27 18:19:02 | 只看該作者
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發(fā)表于 2025-3-27 23:32:20 | 只看該作者
Genetic Algorithms and the Design of Experiments,ave been helpful in providing a framework in which to explain how and why they work. However, most practical applications of GAs are in the context of optimization, where alternative approaches may prove more effective. In attempting to understand how GAs function as optimizers, several alternative
38#
發(fā)表于 2025-3-28 03:00:36 | 只看該作者
39#
發(fā)表于 2025-3-28 08:13:11 | 只看該作者
What are Genetic Algorithms? A Mathematical Prespective,ime invariant Markovian GAs (the next generation depends only upon the current population) with the aim of uncovering, in general terms, their inherent emergent behavior. Along the way, a few issues related to classical “GA theory” are touched upon so as to sketch the context out of which the materi
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發(fā)表于 2025-3-28 10:41:22 | 只看該作者
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