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.
Parameters optimization in a production line using genetic algorithms / C. Bonivento; A. Paoli; M. Sartini. - ELETTRONICO. - (2008), pp. 745-750. (Intervento presentato al convegno International Conference on Computational Intelligence for Modelling, Control and Automation tenutosi a Vienna, Austria nel 12-14 dicembre 2008).
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.