基于双层规划模型的电梯交通系统群组优化  

Optimum Dispatching of Elevator Banks for Elevator Traffic System Based on Bi-level Programming Model

作　　者：杨祯山[1] 邵诚[1] 

机构地区：[1]大连理工大学先进控制技术研究所,辽宁大连116024

出　　处：《沈阳建筑大学学报（自然科学版）》2007年第1期170-176,共7页Journal of Shenyang Jianzhu University：Natural Science

基　　金：国家自然科学基金资助项目(69874026)

摘　　要：目的针对上行高峰交通条件,分析电梯交通系统的性能指标,建立了高层建筑电梯群组分区运行的多目标优化数学模型.提出了采用双层规划模型及遗传算法求解一类特定的多目标问题的新方法.方法通过权向量整体优化以获取目标函数的最优值,进而获得科学合理的决策变量.结果克服了线性组合加权法中依据偏好确定权值的传统方法的缺点,同时对得到的最优解进行成本消耗分析,得出与建筑物特性相关的最终优化运行方案.结论该研究对高层建筑垂直交通系统的设计及其电梯群控技术的实施提供重要依据.算例及仿真结果表明该方法的有效性.Optimum dispatching of elevator banks is essential to elevator traffic system. Based on up peak traffic condition, an optimization multiple-objective mathematical mode of elevator banking in the high-rise is proposed. A new method employing bi-level programming model is presented to deal with a specific multiple-objective question. The objective function is optimized by optimizing the weight vector, and the appropriate decision variables are obtained. This approach overcome the drawback of the conventional method of determining weight value by preference in dealing with linear combination weighted method, meanwhile, the optimal solution is achieved by analyzing the cost concerning building layout for the optimal solution. The research is of great applied significance both in the elevator vertical traffic system design of the high-rise, and in the implementation of elevator group control systems. Simulation results show the validity of the proposed method.

关 键 词：高层建筑 电梯交通系统 性能指标 双层规划 多目标优化 遗传算法 电梯运行周期 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]