Deep reinforcement learning for dynamic algorithm selection: A proof-of-principle study on differential evolution

Deep reinforcement learning for dynamic algorithm selection: A proof-of-principle study on differential evolution

Evolutionary algorithms, such as differential evolution, excel in solving real-parameter optimization challenges. However, the effectiveness of a single algorithm varies across different problem instances, necessitating considerable efforts in algorithm selection or configuration. This article aims...

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書目詳細資料
Main Authors:	GUO, Hongshu, MA, Yining, MA, Zeyuan, CHEN, Jiacheng, ZHANG, Xinglin, CAO, Zhiguang, ZHANG, Jun, GONG, Yue-Jiao
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2024
主題:	Algorithm selection deep reinforcement learning meta-black-box optimization black-box optimization differential evolution Theory and Algorithms
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/9327 https://ink.library.smu.edu.sg/context/sis_research/article/10327/viewcontent/2403.02131v3.pdf
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