Abstract: Highlights•A knowledge-guided dynamic multi-objective evolutionary algorithm is proposed.•A knowledge reconstruction–examination strategy is devised.•A knowledge-guided Bayesian classification strategy is designed.•The experimental results show the merits of the proposed algorithm.
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