Abstract: In recent years, transfer learning-based dynamic constrained multi-objective optimization algorithms (TL-DCMOAs) have shown great promise in handling dynamic constrained multi-objective ...

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Dynamic constrained multiobjective optimization problems (DCMOPs) are receiving increasing attention in evolutionary computation [1]. DCMOPs feature multiple conflicting optimization objectives and ...