DocumentCode
554067
Title
The application of genetic algorithms in high-rise elevator systems
Author
Jixian Meng ; Xinzhong Lu ; GongYao Wu ; Yandong Gao
Author_Institution
Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
1126
Lastpage
1130
Abstract
This paper discusses passenger service in an elevator system in a high-rise commercial building. For the elevator system´s up-peak traffic conditions, we have established multi-objective programming model to determine elevator´s partition running. Then, using the genetic algorithm to solve the multi-objective programming model, which can be optimized to elevator´s running program. Finally, a number of examples of quantitative analysis are made in this paper.
Keywords
genetic algorithms; lifts; transportation; genetic algorithm application; highrise elevator systems; multiobjective programming model; passenger service; uppeak traffic conditions; Educational institutions; Elevators; Floors; Genetic algorithms; Genetics; Optimization; Programming; genetic algorithm; multi-objective programming; partition running;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022222
Filename
6022222
Link To Document