虚构的东西 发表于 2025-3-26 21:04:23

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强行引入 发表于 2025-3-27 04:37:54

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Needlework 发表于 2025-3-27 06:46:42

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发表于 2025-3-27 10:40:11

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轻浮思想 发表于 2025-3-27 16:48:04

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uncertain 发表于 2025-3-27 18:04:45

Multitask Learning in Hyper-Heuristic Domain with Dynamic Production Schedulingistic domain with genetic programming for this purpose. This chapter verifies the effectiveness of traditional multitask learning in genetic programming for dynamic scheduling and identifies a number of differences that need to be adapted. This chapter develops a multi-population multitask learning

放纵 发表于 2025-3-27 23:49:28

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LARK 发表于 2025-3-28 02:31:44

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Aspiration 发表于 2025-3-28 07:14:02

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绝食 发表于 2025-3-28 10:38:33

https://doi.org/10.1007/978-90-368-2580-1d algorithm can learn better scheduling heuristics than the state-of-the-art surrogate-assisted genetic programming algorithms. Further analyses of the knowledge transfer strategy including the transfer ratio are also studied in this chapter.
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查看完整版本: Titlebook: Genetic Programming for Production Scheduling; An Evolutionary Lear Fangfang Zhang,Su Nguyen,Mengjie Zhang Book 2021 The Editor(s) (if appl