Computer Science ›› 2012, Vol. 39 ›› Issue (Z6): 466-473.
Previous Articles Next Articles
Online:
Published:
Abstract: In order to get a globally optimized solution for the elevator group control system(EGCS) scheduling problem, an algorithm with an overall optimization function is needed. This study analyes different traffic patterns and control mechanisms,and proposes a real-time particle swarm optimization(RPSO ) as an optimal solution to the EGOS scheduling problem. Simulation results show that distributed EGOS using RPSO can be scheduled well. Besides, the elevalor real-time scheduling and re-allocation functions are realized in case the elevator is unavailable or full. RPSO algorithm can reduce the waiting time of the passengers by almost 50 0 0 , and reduce passengers' riding time by almost one third.
Key words: Elevator group control system, Distributed, Real-time particle swarm optimization, Up-peak
0 / / Recommend
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
URL: https://www.jsjkx.com/EN/
https://www.jsjkx.com/EN/Y2012/V39/IZ6/466
Cited