摘要
采用遗传算法(GeneticAlgorithms简称GA)用于群控电梯的调度,实用中取得了较好的效果;但在试验中发现普通遗传算法存在收敛速度较慢且容易陷入局部最优解等问题。据此提出一种改进型遗传算法,在采用实数编码和双初始种群分别进行迭代信息交换的基础上,建立库式适应度评估函数;在完成最佳保存策略选择的同时,进行自适应交叉和变异,可较好克服其弊端。模拟仿真运行实验结果表明了此方案的可行性和优越性。
Genetic Algorithm is widely applied to elevator group controlled allocation and its advantages are showed by actual applications.However,drawbacks of slow convergent speed and sometimes just getting local optimum solution are found by tests when common GA technology is applied.In response to it,an improved GA is introduced, which features real number coding and double initial populations,conducts separately information iteration and information exchanges between the two populations,and establishes base type adaptive evalution function,as well as performs self-adaptive cross and variance operations while ensuring selection of optimum saving strategy.Simulation of the allocation system based improved GA indicates that the design is feasible and outstanding.
出处
《起重运输机械》
北大核心
2005年第4期50-54,共5页
Hoisting and Conveying Machinery
