A reinforcement learning approach for dynamic multi-objective optimization

•We devise a reinforcement learning-based framework to relocate the POS more adaptively.•Based on different severity degree of environmental changes, three change response methods are integrated to predict the POS.•The proposed algorithm learns the dynamic environment and determines the appropriate prediction-based strategy.