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A discrete Keplerian optimization algorithm with Q-learning for human-robot collaborative partial disassembly line balancing problem
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DOI：10.1016/j.asoc.2025.114406.png)
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Abstract
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• Human-Robot collaborative partial disassembly is considered in DLBP. • An improved Keplerian optimization algorithm is proposed for HRC-PDLBP. • A Q-learning strategy is presented to adjust the local search operators. • The effectiveness of the algorithm is verified by comparison experiments.
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