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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Bibliographic Details
Main Authors: HANDOKO, Stephanus Daniel, Nguyen, Duc Thien, YUAN, Zhi, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access: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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Institution: Singapore Management University
Language: English