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A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction
DOI:10.1016/j.swevo.2025.102012.png)
Abstract
En 中文
• A new method categorizes decision variables into elite and routine types. • A GRU-based prediction strategy is proposed to optimize routine decision variables. • A LHS strategy is proposed to optimize elite decision variables. • A population re-optimization strategy is proposed to enhance prediction accuracy.
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