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改进的遗传算法在电梯群控中应用
引用本文:何万里,李桂芝,钱伟懿.改进的遗传算法在电梯群控中应用[J].渤海大学学报(自然科学版),2007,28(1):46-50.
作者姓名:何万里  李桂芝  钱伟懿
作者单位:渤海大学数学系,辽宁,锦州,121013
摘    要:针对乘客候梯时间,乘梯时间,拥挤度和电梯系统运行能耗等多个目标优化的电梯群问题,给出一个改进的遗传算法。该算法在选择,交叉,变异操作时,采用首位存在最优个体,在生成初始种群时采用模糊生成其中一个解的方法。并把改进的遗传算法应用到实际电梯群控中,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:23907232
修稿时间:09 20 2006 12:00AM

Application of improved genetic algorithm in control of elevator group
HE Wan-li,LI Gui-zhi,QIAN Wei-yi.Application of improved genetic algorithm in control of elevator group[J].Journal of Bohai University:Natural Science Edition,2007,28(1):46-50.
Authors:HE Wan-li  LI Gui-zhi  QIAN Wei-yi
Institution:Department of Mathematics, Bohai University, Jinzhou 121013,China
Abstract:In this paper,an improved genetic algorithm is proposed for tne control problem of elevator group to optimize the control objective such as shorter waiting time and riding time, less crowd, and less power consumption. This method makes use of ahead storage scheme in selection, crossover and mutation. One individual of the initial population is realized by fuzzy method. The improved genetic algorithm is applied to in the control of elevator. The numerical illustrates the efficiency and feasibility of the algorithm.
Keywords:elevatogenetic algorithm  fuzzyr group control  multi - objective optimization  combinatorial optimization  control
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