Abstract
The efficient performance of elevator group system controllers becomes a first order necessity when the buildings have a high utilisation ratio of the elevators, such as in professional buildings. We present a genetic algorithm that is compared with traditional controller algorithms in industry applications. An ARENA simulation scenario is created during heavy lunchpeak traffic conditions. The results allow us to affirm that our genetic algorithm reaches a better performance attending to the system waiting times than THV algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Barney, G.C. and S.M. dos Santos. Elevator Traffic Analysis, Design and Control (Peter Peregrinus Ltd, 2nd edition, London, 1985).
Siikonen, M-L.. Planning and control models for elevators in high-rise buildings, Ph.D. Thesis, Helsinki University of Technology, 1997.
Kim, C., K.A. Seong and H. Lee-kwang. Design and implementation of a fuzzy elevator group control system, en: Proceedings of the IEEE Transactions on systems, man and Cybernetics (1998), vol. 28, No. 3, 277–287.
Gudwin, R., F. Gomide and M.A. Netto. A Fuzzy Elevator Group Controller with Linear Context Adaptation, in: Proceedings of FUZZ-IEEE98, WCCI’98— IEEE World Congress on Computational Intelligence, Anchorage, Alaska, USA (1998) 481–486.
Gudwin, R. and F. Gomide. Genetic Algorithms and Discrete Event Systems: An Application, en: Proceedings of The First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence (1994), vol II, 742–745.
Alander, J.T., J. Ylinen and T. Tyni. Elevator Group Control Using Distributed Genetic Algorithm, en: Proceedings of the International Conference. Springer-Verlag, Vienna, Austria (1995), 400–403.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cortes, P., Larrañeta, J., Onieva, L. (2003). A Genetic Algorithm for Controlling Elevator Group Systems. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_40
Download citation
DOI: https://doi.org/10.1007/3-540-44869-1_40
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40211-4
Online ISBN: 978-3-540-44869-3
eBook Packages: Springer Book Archive