Optimal Scheduling Of Elevator Group Control Based On Particle Swarm Algorithm

With the rapid development of urban construction industry，a lot of intelligent buildingappeared.Intelligent building rapid development will promote the rapid development oftransportation technology. It is necessary to do some research because the elevator groupcontrol technology is core content of the elevator traffic technology. With the improvement ofcomputer, the artificial intelligence has been widely applied in different fields. Advantagesand the foreground application of swarm intelligence optimization offer the necessity of thestudy.This article gives a detail analysis of the application of scheduling of elevator groupcontrol system based on particle swarm algorithm. Elevator group control scheduling systemis as the research object. The targets are to improve the level of intelligent building and extendthe application field of intelligent algorithm. The main work following points:(1) According to the group control system complexity, randomness, uncertainty andmulti-objective, new model should be built. To improve the quality of elevator group’s serviceand passenger comfort of taking lifts should be as a starting point. Multi-objectivemathematical model should be built based on passengers waiting time for lifts,taking lifts time,long waiting time for rate and system energy consumption. A multi-objective comprehensiveevaluation function is designed by using the linear weighted method.(2)After making a detailed analysis of advantages and principle of particle swarmoptimization, the algorithm is applied the scheduling of the group control system. To design afitness function should consider assessment function of multi-objective model and systemconstraints. The optimal solutions should be given.(3)By introducing the simulated annealing. selection mechanisms and global convergent,the problem that the particle swarm algorithm into a local optimal solution was solve and getbetter optimal results. By making an analysis of the basic particle swarm optimizationalgorithm, the improved algorithm and the shortest waiting time scheduling algorithmsimulation results, improved particle swarm optimization algorithm has better optimizationresults.(4)Because of Matlab software powerful computation ability, this paper made all kinds of simulation of optimal scheduling based on it and designed visual interface by using GUI toachieve the building of dynamic visualization elevator group control scheduling softwareplatform.