节点文献
基于遗传算法的层间交通模式算法研究
Research on Interfloor Traffic Mode Based on GA
【摘要】 针对电梯群控系统层间交通模式下用户对电梯需求多样化的特点,提出了一种用于不同交通流繁重程度的层间交通模式下的调度方法,并采用遗传算法动态优化电梯调度方案,以多目标的评价函数的优化组合作为目标寻求最优派梯方案,根据电梯的运行状态和各层站的呼叫信号,构造适应度函数。在虚拟电梯群控系统环境下,对该基于遗传算法的层间交通流模式下的派梯算法进行验证、比较和分析,证明了该算法的优越性。
【Abstract】 Aiming at the various demand of elevator users under the condition of interfloor traffic mode,a muti-object dispatching method suitable to different interfloor traffic modes is proposed.And the GA-based method is used to dynamically optimize elevator dispatching scheme.Optimal allocating method based on the goal function of the multi-target majorized function is quested.The adaptive function according to the running state of elevator and the hall-call signal among layers is made.In the condition of a virtual elevator group control system,the allocating algorithm based on GA is validated,compared and analysed to prove its advantagement.
【Key words】 elevator group control; multi-object; elevator modelling; genetic algorithm;
- 【文献出处】 控制工程 ,Control Engineering of China , 编辑部邮箱 ,2008年S1期
- 【分类号】TP273
- 【被引频次】4
- 【下载频次】146