A study on energy consumption of elevator group supervisory control systems using genetic network programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Yu:2009:ieeeSMC,

• author = "Lu Yu and Shingo Mabu and Tiantian Zhang and Kotaro Hirasawa and Tsuyoshi Ueno",
• title = "A study on energy consumption of elevator group supervisory control systems using genetic network programming",
• booktitle = "IEEE International Conference on Systems, Man and Cybernetics, SMC 2009",
• year = "2009",
• month = "11-14 " # oct,
• pages = "583--588",
• abstract = "Elevator group supervisory control system (EGSCS) is a traffic system, where its controller manages the elevator movement to transport passengers in buildings efficiently. Recently, artificial intelligence (AI) technology has been used in such complex systems. Genetic network programming (GNP), a graph-based evolutionary method extended from GA and GP, has been already applied to EGSCS. On the other hand, since energy consumption is becoming one of the greatest challenges in the society, it should be taken as criteria of the elevator operations. Moreover, the elevator with maximum energy efficiency is therefore required. Finally, the simulations show that the elevator system has the higher energy consumption in the light traffic, thus, some factors have been introduced into GNP for energy saving in this paper.",
• keywords = "genetic algorithms, genetic programming, genetic network programming, AI technology, EGSCS, GA, GNP, GP, artificial intelligence technology, building passenger transport, complex system, elevator group supervisory control system, energy consumption, energy saving, graph-based evolutionary method, maximum energy efficiency, traffic control system, graph theory, intelligent control, large-scale systems, lifts",
• DOI = "doi:10.1109/ICSMC.2009.5346621",
• ISSN = "1062-922X",
• notes = "Also known as \cite{5346621}",

}

Genetic Programming entries for Lu Yu Shingo Mabu Tiantian Zhang Kotaro Hirasawa Tsuyoshi Ueno

Citations