Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CIMCA.2008.51 | CIMCA/IAWTIC/ISE |
Keywords | Field | DocType |
production line,genetic algorithms,physical setting,optimization algorithm,simulation model,genetic algorithm,parameters optimization,metaheuristic genetic-like search machinery,short theoretical review,discrete event simulation engine,indexes,production management,mathematical model,search engines,production,modeling,genetics,discrete event simulation,optimization,irrigation | Production manager,Mathematical optimization,Search engine,Computer science,Meta-optimization,Optimization algorithm,Production line,Genetic algorithm,Metaheuristic,Discrete event simulation | Conference |
ISBN | Citations | PageRank |
978-0-7695-3514-2 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Bonivento | 1 | 218 | 27.54 |
| Andrea Paoli | 2 | 212 | 16.73 |
| Matteo Sartini | 3 | 36 | 2.56 |