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Titlebook: Genetic Programming; 5th European Confere James A. Foster,Evelyne Lutton,Andrea Tettamanzi Conference proceedings 2002 Springer-Verlag Berl

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樓主: VER
61#
發(fā)表于 2025-4-1 02:51:45 | 只看該作者
Evolving Classifiers to Model the Relationship between Strategy and Corporate Performance Using Gramution. The best classifier correctly categorised the direction of performance ranking change in 66.38% of the firms in the training set and 65% in the out-of-sample validation set providing support for a hypothesis that changes in corporate strategy are linked to changes in corporate performance.
62#
發(fā)表于 2025-4-1 08:44:54 | 只看該作者
A New View on Symbolic Regressionprogram for further use. To show the practical usage of this new representation it was used to reconstruct mathematical descriptions of the dynamics in a machining process namely in orthogonal cutting.
63#
發(fā)表于 2025-4-1 11:23:01 | 只看該作者
https://doi.org/10.1007/978-3-658-20485-3step, the evolutionary search has a high success rate. Moreover, the ratio magnitudes indicate that more neutral mutations (than adaptive mutations) are required for the algorithms to find a solution in this type of search space.
64#
發(fā)表于 2025-4-1 17:04:08 | 只看該作者
https://doi.org/10.1007/978-3-322-85260-1 presence of various phenotypes or phenotypic traits. This schema notation is used to demonstrate that massive areas of neutrality can exist in the search landscape, and the system is also shown to be able to dispense with large areas of the search space that are unlikely to contain useful solutions.
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