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遗传算法与模糊方法相结合在电梯群控中的应用
引用本文:何万里,钱伟懿.遗传算法与模糊方法相结合在电梯群控中的应用[J].沈阳航空工业学院学报,2007,24(3):93-96.
作者姓名:何万里  钱伟懿
作者单位:渤海大学,数学系,辽宁,锦州,121000
摘    要:提出了一种基于改进遗传算法的群控多目标优化调度方法。对乘客候梯时间,乘梯时间,拥挤度和电梯系统运行能耗等多个控制目标进行优化。改进遗传算法由模糊控制与遗传算法组和构成,在遗传操作过程中采用首位存放策略。采用MATLAB编写通用性仿真程序,在给定建筑物参数和电梯配置参数条件下,对调度算法进行仿真,数值结果表示该方法是有效的,可行的。

关 键 词:电梯群控  多目标优化  组合优化  遗传算法  模糊方法
文章编号:1007-1385(2007)03-0093-04
收稿时间:2006-11-20
修稿时间:2006-11-20

Application of genetic algorithm with fuzzy control in elevator group control
HE Wan-li,QIAN Wei-yi.Application of genetic algorithm with fuzzy control in elevator group control[J].Journal of Shenyang Institute of Aeronautical Engineering,2007,24(3):93-96.
Authors:HE Wan-li  QIAN Wei-yi
Institution:Department of Mathematics, Bohai University, Liaoning Jinzhou 121000
Abstract:This paper propose a new multi-objective dispatching method based on the improved Genetic Algorithm to optimize the control objects such as waiting time and riding time,crowdness,power consumption.The improved Genetic Algorithm is composed of fuzzy control and Genetic Algorithm,and Genetic Algorithm is realized by primary storage scheme.Then,a general simulation program is developed in MATLAB.The simulation results to indicate elevator service quality are given by running the simulation program of the dispatching algorithm under the condition of building's parameters and elevator collocation parameters.The numerical results illustrate that the algorithm is efficiency and feasibility.
Keywords:elevator group control  multi-objective optimization  combinatorial optimization  genetic algorithm  fuzzy control
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