Elevator group supervisory control systems using genetic network programming

Toru Eguchi, Kotaro Hirasawa, Takayuki Furuzuki, Sandor Markon

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

23 Citations (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. 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.

Original languageEnglish
Title of host publicationProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Pages1661-1667
Number of pages7
Volume2
Publication statusPublished - 2004
EventProceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR
Duration: 2004 Jun 192004 Jun 23

Other

OtherProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
CityPortland, OR
Period04/6/1904/6/23

Fingerprint

Elevators
Control systems
Controllers
Availability
Directed graphs
Evolutionary algorithms
Artificial intelligence
Genes

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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

Elevator group supervisory control systems using genetic network programming. / Eguchi, Toru; Hirasawa, Kotaro; Furuzuki, Takayuki; Markon, Sandor.

Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. Vol. 2 2004. p. 1661-1667.

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

Eguchi, T, Hirasawa, K, Furuzuki, T & Markon, S 2004, Elevator group supervisory control systems using genetic network programming. in Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. vol. 2, pp. 1661-1667, Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004, Portland, OR, 04/6/19.
Eguchi T, Hirasawa K, Furuzuki T, Markon S. Elevator group supervisory control systems using genetic network programming. In Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. Vol. 2. 2004. p. 1661-1667
Eguchi, Toru ; Hirasawa, Kotaro ; Furuzuki, Takayuki ; Markon, Sandor. / Elevator group supervisory control systems using genetic network programming. Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. Vol. 2 2004. pp. 1661-1667
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