Abstract: Constrained optimization is popularly seen in reinforcement learning (RL) for addressing complex control tasks. From the perspective of dynamic system, iteratively solving a constrained ...
Abstract: This paper proposes an alternating refined constraint method (ARCM) for solving multi-objective optimization problems (MOPs) in energy systems. Through a two-stage solution mechanism, ARCM ...
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