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。
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.
出处
《渤海大学学报（自然科学版）》
CAS
2007年第1期46-50,共5页
Journal of Bohai University:Natural Science Edition
关键词
电梯群控
多目标优化
组合优化
遗传算法
模糊方法
elevatogenetic algorithm, fuzzyr group control
multi - objective optimization
combinatorial optimization
control
