工业工程2013，Vol.16Issue(2)：141-146,6.DOI:10.3969/j.issn.1007-7375.2013.02.022
基于改进粒子群算法的电梯优化调度研究
An Improved Particle Swarm Optimization Algorithm for Elevator Scheduling
摘要
Abstract
The problem of scheduling more than one working elevators at peak hours is addressed in this paper. Aiming at minimizing passengers' waiting time, a mathematical model is established by a triplet to describe the characteristics of the elevator service system. Based on this model, a heuristic algorithm is proposed to solve the problem by integrating the improved particle swarm optimization and elevator dispatching theory. In solving the problem, the nonlinear equations are solved by numerical method. In this way, all elevators can operate in a most effective way so as to minimize the average running time of the elevators and the average number of passengers. A practical case problem is used to verify the proposed method. By simulation with Matlab, it shows the usefulness and effectiveness of the proposed method.关键词
改进粒子群算法/电梯分区/电梯调度Key words
improved particle swarm optimization algorithm/ elevator dispatching/ elevator scheduling分类
管理科学引用本文复制引用
杨琴,袁玲玲,梁红艳,李金奇,武思..基于改进粒子群算法的电梯优化调度研究[J].工业工程,2013,16(2):141-146,6.基金项目
国家自然科学基金资助项目(70672013) （70672013）
四川省教育厅科研项目(10ZC004) （10ZC004）
四川师范大学学生科研创新项目基金(sxk11021) （sxk11021）
