Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{eguchi:2005:CEC,
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author = "Toru Eguchi and Kotaro Hirasawa and Jinglu Hu and
Sandor Markon",
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title = "Elevator Group Supervisory Control System Using
Genetic Network Programming with Functional
Localization",
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booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary
Computation",
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year = "2005",
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editor = "David Corne and Zbigniew Michalewicz and
Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and
Garrison Greenwood and Tan Kay Chen and
Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and
Jennifier Willies and Juan J. Merelo Guervos and
Eugene Eberbach and Bob McKay and Alastair Channon and
Ashutosh Tiwari and L. Gwenn Volkert and
Dan Ashlock and Marc Schoenauer",
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volume = "1",
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pages = "328--335",
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address = "Edinburgh, UK",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "2-5 " # sep,
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organisation = "IEEE Computational Intelligence Society, Institution
of Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-7803-9363-5",
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DOI = "doi:10.1109/CEC.2005.1554702",
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abstract = "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 localisation is applied to the EGSCS to
construct such an adaptive system. In the proposed
method, the switching GNP can switch the functionally
localised 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.",
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notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.",
- }
Genetic Programming entries for
Toru Eguchi
Kotaro Hirasawa
Jinglu Hu
Sandor Markon
Citations