Elevator group supervisory control system with destination floor guidance system using genetic network programming

Hoon Heo*, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Genetic Network Programming (GNP) has been proposed as a new method of evolutionary computation. Until now, GNP has been applied to various problems and its effectiveness was clarified. Recently, the traffic in high-rise buildings becomes more and more diversified and complicated as buildings has more various functions and intelligence. To make an elevator system operate safely and efficiently for passengers, some automatic controls have been employed. Generally, Elevator Group Supervisory Control System (EGSCS) is a complex and difficult problem to solve because it is too dynamic and probabilistic. It is suitable for GNP to apply to such a system. In this paper, EGSCS with Destination Floor Guidance System (DFGS) using GNP is compared with EGSCS without DFGS, and it is shown that EGSCS with DFGS performs well compared with EGSCS without DFGS.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Number of pages5
Publication statusPublished - 2006
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Publication series

Name2006 SICE-ICASE International Joint Conference


Conference2006 SICE-ICASE International Joint Conference
Country/TerritoryKorea, Republic of


  • Destination floor guidance system
  • Elevator group control
  • GNP

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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