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

Hoon Heo, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu

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

1 Citation (Scopus)

Abstract

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
Pages5489-5493
Number of pages5
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Publication series

Name2006 SICE-ICASE International Joint Conference

Conference

Conference2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

Keywords

  • 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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  • Cite this

    Heo, H., Mabu, S., Hirasawa, K., & Hu, J. (2006). Elevator group supervisory control system with destination floor guidance system using genetic network programming. In 2006 SICE-ICASE International Joint Conference (pp. 5489-5493). [4108764] (2006 SICE-ICASE International Joint Conference). https://doi.org/10.1109/SICE.2006.315684