Title :
Parameters Optimization in a Production Line Using Genetic Algorithms
Author :
Bonivento, Claudio ; Paoli, Andrea ; Sartini, Matteo
Author_Institution :
DEIS - Dept. of Electron., Comput. Sci. & Syst., Univ. of Bologna, Bologna, Italy
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.
Keywords :
discrete event simulation; genetic algorithms; production engineering computing; production management; search engines; discrete event simulation engine; genetic algorithms; genetic-like search machinery; metaheuristic machinery; optimization algorithm; parameter optimization; production line; Analytical models; Constraint theory; Cost function; Discrete event simulation; Engines; Genetic algorithms; Machinery; Mathematical model; Production systems; Testing; genetic algorithms; manufacturing systems; modeling;
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
DOI :
10.1109/CIMCA.2008.51
