Elevator Group-Control Policy Based on Neural Network Optimized by Genetic Algorithm  

作　　者：沈虹 万健如 张志超 刘英培 李光叶 

机构地区：[1]School of Electrical Engineering and Automation, Tianjin University [2]Baoding Power Supply Company

出　　处：《Transactions of Tianjin University》2009年第4期245-248,共4页天津大学学报（英文版）

基　　金：Supported by National Natural Science Foundation of China (No60874077) ;Specialized Research Funds for Doctoral Program of Higher Education of China (No20060056054) ;Research Funds for Scientific Financing Projects of Quality Control Public Welfare Profession (No2007GYB172)

摘　　要：Aiming at the diversity and nonlinearity of the elevator system control target, an effective group method based on a hybrid algorithm of genetic algorithm and neural network is presented in this paper. The genetic algorithm is used to search the weight of the neural network. At the same time, the multi-objective-based evaluation function is adopted, in which there are three main indicators including the passenger waiting time, car passengers number and the number of stops. Different weights are given to meet the actual needs. The optimal values of the evaluation function are obtained, and the optimal dispatch control of the elevator group control system based on neural network is realized. By analyzing the running of the elevator group control system, all the processes and steps are presented. The validity of the hybrid algorithm is verified by the dynamic imitation performance.Aiming at the diversity and nonlinearity of the elevator system control target, an effective group method based on a hybrid algorithm of genetic algorithm and neural network is presented in this paper. The genetic algorithm is used to search the weight of the neural network. At the same time, the multi-objective-based evaluation function is adopted, in which there are three main indicators including the passenger waiting time, car passengers number and the number of stops. Different weights are given to meet the actual needs. The optimal values of the evaluation function are obtained, and the optimal dispatch control of the elevator group control system based on neural network is realized. By analyzing the running of the elevator group control system, all the processes and steps are presented. The validity of the hybrid algorithm is verified by the dynamic imitation performance.

关 键 词：elevator group control genetic algorithm neural network hybrid algorithm 

分 类 号：TU857[建筑科学] TP18[自动化与计算机技术—控制理论与控制工程]