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

fYear

2008

fDate

10-12 Dec. 2008

Firstpage

744

Lastpage

749

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling Control & Automation, 2008 International Conference on

Conference_Location

Vienna

Print_ISBN

978-0-7695-3514-2

Type

conf

DOI

10.1109/CIMCA.2008.51

Filename

5172718