Pages that link to "Item:Q2055564"
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The following pages link to A reinforcement learning approach for dynamic multi-objective optimization (Q2055564):
Displaying 11 items.
- Recruitment-imitation mechanism for evolutionary reinforcement learning (Q2123550) (← links)
- Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm (Q2147110) (← links)
- Dynamic multi-objective estimation of distribution algorithm based on domain adaptation and nonparametric estimation (Q2195419) (← links)
- Multi-condition multi-objective optimization using deep reinforcement learning (Q2671337) (← links)
- (Q4471876) (← links)
- Research progress of dynamic multi-objective optimization evolutionary algorithm (Q4983734) (← links)
- Combining mutual information and stable matching strategy for dynamic evolutionary multi-objective optimization (Q5058893) (← links)
- Temporal distribution-based prediction strategy for dynamic multi-objective optimization assisted by GRU neural network (Q6074950) (← links)
- A fast algorithm to solve large-scale matrix games based on dimensionality reduction and its application in multiple unmanned combat air vehicles attack-defense decision-making (Q6118650) (← links)
- Hybrid response dynamic multi-objective optimization algorithm based on multi-arm bandit model (Q6588367) (← links)
- A dynamic interval multi-objective optimization algorithm based on environmental change detection (Q6669257) (← links)
