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LSTM-enhanced multi-objective evolutionary algorithm for distributed heterogeneous hybrid flow shop scheduling problem with multi-skilled workers
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DOI：10.1016/j.swevo.2026.102441.png)
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Abstract
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• A heterogeneous flow shop model with multi-skilled workers has been established. • An LSTM-Enhanced Multi-Objective Evolutionary Algorithm has been designed. • Three heuristic initialization rules have been designed. • An elite sequence protection mechanism has been designed. • The LSTM network is used to predict new non-dominated solutions.
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