A Genetic Algorithm for Controlling Elevator Group Systems

Authors:
P. Cortes;J. Larrañeta;L. Onieva
Affiliations:
Ingeniería Organización. Escuela Superior Ingenieros, Seville University, Sevilla, Spain 41092;Ingeniería Organización. Escuela Superior Ingenieros, Seville University, Sevilla, Spain 41092;Ingeniería Organización. Escuela Superior Ingenieros, Seville University, Sevilla, Spain 41092
Venue:
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Year:
2009

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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.