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

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

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2006 SICE-ICASE International Joint Conference
ページ5489-5493
ページ数5
DOI
出版ステータスPublished - 2006 12月 1
イベント2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
継続期間: 2006 10月 182006 10月 21

出版物シリーズ

名前2006 SICE-ICASE International Joint Conference

Conference

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

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 制御およびシステム工学
  • 電子工学および電気工学

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