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This paper study the multi-objective optimization problem of elevator group control systems by using the Markov Decision Process model. Define the Agent to be the leaner and decision-maker of the MDP model. And then using reinforcement learning Algorithm combined with generic method defines the elements of this model. Moreover we use SARSA(λ) value iteration algorithm which was selected to iterative...
k-means clustering has been widely applied in the field of Machine Learning and Pattern Recognition. This paper discussed the randomized algorithm of its sub problem which requires that each divided subset size has to be at least some given value. First a sample set was drawn at random from the given point, which contains some number of points of each optimal subset with high probability. Based on...
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