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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.
In order to solve the uncertainty of passenger traffic flow in GES, an elevator group control scheduling method based on adjustable robust optimization is proposed.Based on the analysis of the uncertainty characteristics of elevator traffic flow, an elevator group control schedule The optimization model is determined.Uncertain robust model can be used to transform the uncertain model of elevator group control scheduling into its adjustable robust counterparts.On the basis of this, it is proved that when the uncertain set is the ellipsoidal set, The adjustable robust equivalence model (ARC) for elevator group control scheduling model is computable.The simulation results show that this method has better scheduling performance than other scheduling methods, and improves the scheduling performance for different passenger traffic flow Adaptability of the model.