基于遗传算法模糊神经网络的电梯群控调度

Elevator Group Control Dispatching Using Genetic-Algorithm-Based Fuzzy Neural Network

提出了一种基于遗传算法的模糊神经网络的电梯群控调度方法,即智能多模式群控调度方法,其特点是能够适合于各种交通流模式.该文详细介绍了这种方法的设计思想、结构及其实现,并进行了仿真试验.仿真结果表明,该方法能够适应各种交通流模式的变化,实现了在各种交通模式下根据各种相应服务要求进行电梯合理调度的目标.

A dispatching method of elevator group c ontrol system (EGCS) using genetic-algorithm-based fuzzy neural network (GAFNN ) is presented in this paper. This dispatching method is a kind of multiple-mod e intelligent method of elevator group control dispatching, in other words, it a dapts to various traffic flow modes. The idea, structure and realization of this method are introduced in details and the simulations are made in elevator virtu al simulation environment. The results of simulation show that this method reali zes the target of reasonable elevator dispatching according to corresponding ser vice requests in various traffic flow modes.