电梯群的可调整鲁棒优化调度

为解决电梯群控调度(GES)中乘客交通流不确定问题, 提出基于可调整鲁棒优化的电梯群控调度方法. 基于对电梯交通流的不确定特性分析, 建立了电梯群控调度的不确定优化模型. 利用可调整鲁棒优化方法将电梯群控调度的不确定模型转化为其可调整鲁棒对等式. 在此基础上, 证明了在不确定集为椭球集直积时, 电梯群控调度模型的可调整鲁棒对等式(ARC)是可计算的. 仿真验证表明, 与其他的调度方法相比, 该方法具有较好的调度性能,提高了调度对不同乘客交通流模式的适应性.

Adjustable robust optimization scheduling for group elevator system

A scheduling method based on adjustable robust optimization is proposed for the group elevator scheduling (GES) with uncertainty in passenger traffic-flow. An uncertain optimal model of the elevator group is developed based on the uncertain characteristics of passenger traffic-flow. The uncertain model is transformed into its adjustable robust counterpart by using the adjustable robust optimization approach. This adjustable robust counterpart (ARC) is proved to be computable when the uncertain set is the direct product of ellipsoidal sets. The simulation experiments show that the proposed method surpasses other methods in scheduling performance and in adapting different passenger traffic-flow patterns.