DocumentCode :
534882
Title :
Multi-car elevator system using Genetic Network Programming for high-rise building
Author :
Yu, Lu ; Mabu, Shingo ; Hirasawa, Kotaro
Author_Institution :
Grad. Sch. of Inf., Waseda Univ., Fukuoka, Japan
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
1216
Lastpage :
1222
Abstract :
The multi-car elevators consist of plural cars in a single elevator shaft. It makes the improvement in handling capacity, while allowing the reduction of the space occupied in the building. At present, lots of buildings with more than 40 floors are being built, which are usually divided into several zones served by local elevator groups. The cars should be operated at equal time intervals, especially in such a building with multi-car elevator systems (MCES) in order to obtain its good performance. In this paper, Genetic Network Programming (GNP) has been applied to MCES in high-rise buildings. The performances are shown by simulations.
Keywords :
genetic algorithms; lifts; elevator shaft; genetic network programming; high-rise building; multi-car elevator system; Economic indicators; IEEE Journals and Transactions On-LINE - OpeRA; Genetic Network Programming; bunching; high-rise building; multi-car elevator system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5642411
Filename :
5642411
Link To Document :
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