Double-Deck Elevator Systems Adaptive to Traffic Flows Using Genetic Network Programming

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

@InProceedings{Zhou2:2008:cec,

• author = "Jin Zhou and Lu Yu and Shingo Mabu and Kaoru Shimada and Kotaro Hirasawa and Sandor Markon",
• title = "Double-Deck Elevator Systems Adaptive to Traffic Flows Using Genetic Network Programming",
• booktitle = "2008 IEEE World Congress on Computational Intelligence",
• year = "2008",
• editor = "Jun Wang",
• pages = "773--778",
• address = "Hong Kong",
• month = "1-6 " # jun,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• isbn13 = "978-1-4244-1823-7",
• file = "EC0198.pdf",
• DOI = "doi:10.1109/CEC.2008.4630883",
• abstract = "Double-deck elevator system (DDES) has been invented firstly as a solution to improve the transportation capacity of elevator group systems in the up-peak traffic pattern. The transportation capacity could be even doubled when DDES runs in a pure up-peak traffic pattern where two connected cages stop at every two floors in an elevator round trip. However, the specific features of DDES make the elevator system intractable when it runs in some other traffic patterns. Moreover, since almost all of the traffic flows vary continuously during a day, an optimised controller of DDES is required to adapt the varying traffic flow. In this paper, we have proposed a controller adaptive to traffic flows for DDES using Genetic Network Programming (GNP) based on our past studies in this field, where the effectiveness of DDES controller using GNP has been verified in three typical traffic patterns. A traffic flow judgement part was introduced into the GNP framework of DDES controller, and the different parts of GNP were expected to be functionally localised by the evolutionary process to make the appropriate cage assignment in different traffic flow patterns. Simulation results show that the proposed method outperforms a conventional approach and two heuristic approaches in a varying traffic flow during the work time of a typical office building.",
• keywords = "genetic algorithms, genetic programming",
• notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",

}

Genetic Programming entries for Jin Zhou Lu Yu Shingo Mabu Kaoru Shimada Kotaro Hirasawa Sandor Markon

Citations