In this work we present an optimization algorithm based on a discrete event simulation engine driven by a metaheuristic genetic-like search machinery; this algorithm is used to tune logical as well as physical settings in a production line. In this paper the production line and its simulation model will be described and, after a short theoretical review on genetic algorithms, the tool will be presented. Finally its use, as well as the obtained results, will be shown.
C. Bonivento, A. Paoli, M. Sartini (2008). Parameters optimization in a production line using genetic algorithms. s.l : Institute of Electrical and Electronics Engineers.
Parameters optimization in a production line using genetic algorithms
BONIVENTO, CLAUDIO;PAOLI, ANDREA;SARTINI, MATTEO
2008
Abstract
In this work we present an optimization algorithm based on a discrete event simulation engine driven by a metaheuristic genetic-like search machinery; this algorithm is used to tune logical as well as physical settings in a production line. In this paper the production line and its simulation model will be described and, after a short theoretical review on genetic algorithms, the tool will be presented. Finally its use, as well as the obtained results, will be shown.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
