Elevator Group Control Using Multiple Reinforcement Learning Agents
Machine Learning
Design and implementation of a fuzzy elevator group control system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An efficient control method for elevator group control system
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
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A simple and efficient control approach based on an operation strategy with a talented algorithm is presented for the elevator group control. In order to analyze the performance of the presented system, the control method was evaluated by considering different performance characteristics. The results of the method were compared with the results of the area weight algorithm. The results obtained from the simulations indicated that the presented approach exhibits high performance over the area weight algorithm with the minimum time consumption results.