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Energy Saving of Elevator Group under Up-Peak Flow Based on Geese-PSO

机译：基于Geese-PSO的电梯在上行流量下的节能

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Vertical elevators are commonly used in high-rise buildings. Elevator Group Control System(EGCS) is designed to dispatch elevator cars to meet the needs of customer's call in different floor. The optimization of EGCS is aiming at improving its transport capacity and service quality, which is a typical combinational optimization. Particle Swarm Optimization(PSO) is good at solving combinational optimization, but it is also easy to fall into local solutions. In this paper, according to the flight characteristics of geese group, we propose an improved PSO algorithm named Geese-PSO. By using a novel coding method, we can offer a natural way to meet our requirement. Finally in order to realize energy-saving of elevator group optimization, we derive the energy-saving function and time cost function, build the elevator group control model and give the optimization scheme. Simulation results demonstrate the effectiveness of the approach.
机译：垂直电梯通常用于高层建筑中。电梯群控系统（EGCS）用于调度电梯轿厢，以满足不同楼层客户的呼叫需求。 EGCS的优化旨在提高其运输能力和服务质量，这是典型的组合优化。粒子群优化算法（PSO）擅长解决组合优化问题，但也易于陷入局部解决方案。本文针对大雁群的飞行特性，提出了一种改进的PSO算法Geese-PSO。通过使用一种新颖的编码方法，我们可以提供一种自然的方式来满足我们的要求。最后，为实现电梯群优化的节能效果，推导了节能功能和时间成本函数，建立了电梯群控制模型，并给出了优化方案。仿真结果证明了该方法的有效性。

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