PSO-BASED REAL-TIME SCHEDULING FOR ELEVATOR GROUP SUPERVISORY CONTROL SYSTEM

被引：6

作者：

Li, Zhonghua ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510275, Guangdong, Peoples R China

来源：

INTELLIGENT AUTOMATION AND SOFT COMPUTING | 2010年 / 16卷 / 01期

关键词：

elevator group supervisory control system; dynamic scheduling; particle swami optimization;

D O I：

10.1080/10798587.2010.10643068

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Elevator group supervisory control system (EGSCS) is an important and essential component in an industrial elevator system. This paper will introduce particle swarm optimization (PSO) its it heuristic intelligent search method to optimize in real time elevator traffic scheduling solution of EGSCS. The proposed PSO-based scheduling approach will be applied to effectively handle the peak elevator traffic. The overall experimental results will be used to validate its scheduling efficiency and effectiveness.

引用

页码：111 / 121

页数：11