The application of genetic algorithms in high-rise elevator systems

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...

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Bibliographic Details
Published in2011 Seventh International Conference on Natural Computation Vol. 2; pp. 1126 - 1130
Main Authors Jixian Meng, Xinzhong Lu, GongYao Wu, Yandong Gao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Educational institutions
Elevators
Floors
genetic algorithm
Genetic algorithms
Genetics
multi-objective programming
Optimization
partition running
Programming
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Summary: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.
ISBN:9781424499502
142449950X
ISSN:2157-9555
DOI:10.1109/ICNC.2011.6022222