Stubborn 发表于 2025-3-21 18:32:55

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separate 发表于 2025-3-21 22:29:03

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Retrieval 发表于 2025-3-22 04:19:29

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符合规定 发表于 2025-3-22 04:51:58

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Little 发表于 2025-3-22 10:41:32

Dario Braga,Fabrizia Grepioni,A. Guy Orpenhe most used Evolutionary Algorithms —Genetic Algorithms, Evolution Strategies and Evolutionary Programming— are explained in detail. We give pointers to the literature on their theoretical foundations.

光亮 发表于 2025-3-22 14:53:36

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光亮 发表于 2025-3-22 17:08:04

https://doi.org/10.1007/978-3-642-95686-7 in continuous domains. Different approaches for Estimation of Distribution Algorithms have been ordered by the complexity of the interrelations that they are able to express. These will be introduced using one unified notation.

四海为家的人 发表于 2025-3-23 00:52:19

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Engaging 发表于 2025-3-23 03:15:24

https://doi.org/10.1007/978-1-4757-4896-3etworks to model the probability distribution of the selected individuals, and particularly on those that use a score+search learning strategy. Apart from the evaluation of the fitness function, the biggest computational cost in these EDAs is due to the structure learning step. We aim to speed up th

项目 发表于 2025-3-23 06:17:48

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查看完整版本: Titlebook: Estimation of Distribution Algorithms; A New Tool for Evolu Pedro Larrañaga,Jose A. Lozano Book 2002 Springer Science+Business Media New Yo