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A genetic algorithm for controlling elevator group systems

Opened Access A genetic algorithm for controlling elevator group systems

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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: 2003
Publicado en: Lecture Notes in Computer Science; Advances in Artificial Intelligence, 2687, 313-320
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: 227.1Kb
Formato: PDF

URI: http://hdl.handle.net/11441/41206

DOI: http://dx.doi.org/10.1007/3-540-44869-1_40

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