基于粒子群算法的电梯群控设计与量化分析

DESIGN AND QUANTITATIVE ANALYSIS OF ELEVATOR GROUP CONTROL SYSTEM BASED ON PARTICLE SWARM OPTIMIZATION

通过电梯群控粒子群算法和技术工程分析．给出了算法原理、最优调度轿厢以响应层站呼叫的流程．得到基础参数的取法。结论电梯运行模式是决定电梯群控设计和最优调度的主要因素；在电梯群控诸多智能算法的评价函数中，主要由最短候梯时间决定最优调度轿厢。基于粒子群算法的电梯群控设计与量化分析例说明了上述结论。

According to the elevator group control particle swarm algorithm and engineering analysis, this paper gives the principle of the algorithm and the optimal scheduling car in response to a landing call process, and obtains the selective way of basic parameters, Conclusion： the elevator travel pattern is the main factor to decide elevator group control design and optimum dispatching, In the evaluation function of many intelligent algorithms to elevator group control, it determines the optimum scheduling of car mainly by the shortest waiting time. The above conclusion is explained by the example that of design and quantitative analysis of elevator group control system based on particle swarm optimization.