Titlebook: Genetic Programming for Production Scheduling; An Evolutionary Lear Fangfang Zhang,Su Nguyen,Mengjie Zhang Book 2021 The Editor(s) (if appl

虛構(gòu)的東西

強行引入

Needlework

假

輕浮思想

uncertain

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

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LARK

Aspiration

絕食

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.