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Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic

Opened Access Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic

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Autor: Cortés, Pablo
Larrañeta Astola, Juan Carlos
Onieva Giménez, Luis Gerardo
Departamento: Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II
Fecha: 2004
Publicado en: Applied soft computing, 4(2), 159-174
Tipo de documento: Artículo
Resumen: 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.
Tamaño: 732.8Kb
Formato: PDF

URI: http://hdl.handle.net/11441/40821

DOI: http://dx.doi.org/10.1016/j.asoc.2003.11.002

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