Reinforcement learning for adaptive operator selection in memetic search applied to Quadratic Assignment Problem

Memetic search is well known as one of the state-of-the-art metaheuristics for finding high-quality solutions to NP-hard problems. Its performance is often attributable to appropriate design, including the choice of its operators. In this paper, we propose a Markov Decision Process model for the sel...

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Main Authors: HANDOKO, Stephanus Daniel, Nguyen, Duc Thien, YUAN, Zhi, LAU, Hoong Chuin
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語言:English
出版: Institutional Knowledge at Singapore Management University 2014
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/2666
https://ink.library.smu.edu.sg/context/sis_research/article/3666/viewcontent/ReinforcementLearningAdaptiveOperSelQAP_2014_GECCO.pdf
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機構: Singapore Management University
語言: English

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