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机构地区:[1]天津大学 [2]重庆能源职业学院
出 处:《中国电梯》2015年第8期34-36,39,共4页China Elevator
摘 要:随着写字楼高层化和智能化持续发展.电梯配置重要性日益凸显.传统电梯配置方法已不能满足电梯交通系统要求。为解决以上问题.本文在分析写字楼交通流特性的基础上.构建了多目标优化电梯配置数学模型.通过改进粒子群(PSO)算法对多此模型进行优化求解.并利用MATLAB和VB混合编程技术建立了电梯配置应用系统。应用实例证明了本文所提基于改进PSO算法的电梯配置方案的合理性和有效性。With the continuous increase in the number of high-rise and intelligent office buildings, the importance of elevator configuration is becoming more and more obvious. But the traditional elevator configuration method already cannot meet the requirements of elevator traffic system. To solve the above problem, according to the analysis of elevator traffic flow, the multi-objective optimized mathematical model of elevator configuration, which is optimized by improved Particle Swarm Optimization (PSO) algorithm, is established firstly. Then the elevator configuration application system is designed by the hybrid programming technology of VB and MATLAB. The application example illustrates that the elevator configuration method based on improved PSO algorithm is reasonable and effective.
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