Abstract: Highlights•An insights-infused framework is proposed to assist EAs in optimization.•A coding method is developed to enable MLP networks handle varying data dimensions.•The framework utilizes neural networks to learn the evolutionary processes of EAs.•A self-evolution strategy is designed for net fine-tuning without external knowledge•The framework can solve different types of optimization problems.
External IDs:dblp:journals/eswa/BianZHZSC26
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