Elevator group supervisory control systems using genetic network programming

Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon

研究成果: Conference contribution

23 引用 (Scopus)

抜粋

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. However, these problems were virtual models, so the applicability and availability of GNP to the real-world applications have not been studied. In this paper, as a first step of applying GNP to the real-world applications, Elevator Group Supervisory Control Systems (EGSCSs) are considered. Generally, EGSCSs are complex and difficult problems to solve because they are too dynamic and probabilistic. So the design of a useful controller of EGSCSs was very difficult. Recently, the design of such a controller of EGSCSs has been tried actively using Artificial Intelligence (AI) technologies. In this paper, it is reported that the design of a controller of EGSCSs has been studied using GNP whose characteristic is to use directed graph as its gene instead of bit strings and trees of GA and GP. From simulations, it is clarified that better solutions are obtained by using GNP than other conventional methods and the availability of GNP to real-world applications is confirmed.

元の言語English
ホスト出版物のタイトルProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
ページ1661-1667
ページ数7
出版物ステータスPublished - 2004 9 13
イベントProceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR, United States
継続期間: 2004 6 192004 6 23

出版物シリーズ

名前Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
2

Conference

ConferenceProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
United States
Portland, OR
期間04/6/1904/6/23

ASJC Scopus subject areas

  • Engineering(all)

フィンガープリント Elevator group supervisory control systems using genetic network programming' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Eguchi, T., Hirasawa, K., Hu, J., & Markon, S. (2004). Elevator group supervisory control systems using genetic network programming. : Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 (pp. 1661-1667). (Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004; 巻数 2).