Elevator group supervisory control system using genetic network programming with functional localization

Toru Eguchi*, Kotaro Hirasawa, Jinglu Hu, Sandor Markon

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Genetic Network Programming (GNP) whose gene consists of directed graphs has been proposed as a new method of evolutionary computations, and it is recently applied to the Elevator Group Supervisory Control System (EGSCS), a real world problem, to confirm its effectiveness. In the previous study, although the flow of traffic in the elevator system is known and fixed, it is changed dynamically with time in real elevator systems. Therefore, the EGSCS with an adaptive control should be studied considering such changes for practical applications. In this paper, the GNP with functional localization is applied to the EGSCS to construct such an adaptive system. In the proposed method, the switching GNP can switch the functionally localized GNPs (assigning GNPs) fitted to several kinds of traffic by detecting the change of the flow of traffic. From the simulations, the adaptability and effectiveness of the proposed method are clarified using the traffic data of a day in an office building.

本文言語English
ホスト出版物のタイトル2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
ページ328-335
ページ数8
出版ステータスPublished - 2005 10月 31
イベント2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom
継続期間: 2005 9月 22005 9月 5

出版物シリーズ

名前2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
1

Conference

Conference2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
国/地域United Kingdom
CityEdinburgh, Scotland
Period05/9/205/9/5

ASJC Scopus subject areas

  • 工学(全般)

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