Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization
Abstract: Highlights•A DRL-based co-evolutionary differential evolution is proposed for the COPs.•Multiple CHTs are used for offspring selection to ensure the generality and flexibility.•DRL is used to evaluate the population state and selects suitable mating population.•Adaptive operator selection and individual archive elimination mechanism are developed.
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