A double-deck elevator systems controller with idle cage assignment algorithm using genetic network programming

Many studies on Double-Deck Elevator Systems (DDES) have been done for exploring more e±cient algorithms to improve the system transportation capacity, especially in a heavy tra±c mode. The main idea of these algorithms is to decrease the number of stops during a round trip by grouping the passengers with the same destination as much as possible. How to dispatch idle cages, which is seldom considered in the heavy tra±c mode, becomes important when developing the controller of DDES. In this paper, we propose a DDES controller with idle cage assignment algorithm using Genetic Network Programming (GNP) for a light traffic mode, which is based on a timer and event-driven hybrid model. To verify the effeciency and effectiveness of the proposed method, some experiments have been done under a special down-peak pattern.