Abstract: Urban intersections face persistent challenges due to traffic congestion, which affects travel efficiency and increases delays. This study presents a Deep Reinforcement Learning (DRL)-based ...
Abstract: To solve dynamic multiobjective optimization problems (DMOPs), the optimization algorithms are required to track the movement of the Pareto set after the environmental changes effectively.
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