In hotel management, traditional manual scheduling relies on experiential decision-making. It struggles to address dynamic challenges from occupancy fluctuations, periodic peaks, and sudden demands.
Abstract: In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive ...
Abstract: This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) ...
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