Abstract | ||
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The flexible manufacturing system (FMS) is a complex discrete event dynamic system (DEDS). The Petri net is suitable for describing the DEDS, so the Petri net is used to model the FMS. Aiming at the scheduling optimization of the FMS, an improved genetic algorithm (GA) is proposed and applied to the scheduling of the Petri net model. An approximate optimal solution is given. Then a given FMS example is designed, modeled and optimized, and the effectiveness and real-time of the proposed model and algorithm are proved through the experiment. |
Year | DOI | Venue |
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2011 | 10.1109/ICAL.2011.6024755 | ICAL |
Keywords | Field | DocType |
flexible manufacturing system (fms),scheduling,genetic algorithm,petri net,petri nets,discrete event systems,fms,petri net modeling,scheduling optimization,flexible manufacturing systems,deds,genetic algorithms,flexible manufacturing system,complex discrete event dynamic system,ga,indexing terms,heuristic algorithm,job shop scheduling,real time,discrete event dynamic system | Petri net,Job shop scheduling,Scheduling (computing),Computer science,Discrete event dynamic system,Stochastic Petri net,Flexible manufacturing system,Genetic algorithm,Distributed computing | Conference |
Volume | Issue | ISSN |
null | null | 2161-8151 E-ISBN : 978-1-4577-0300-3 |
ISBN | Citations | PageRank |
978-1-4577-0300-3 | 1 | 0.36 |
References | Authors | |
3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zixiang Zhao | 1 | 15 | 5.50 |
Guoshan Zhang | 2 | 54 | 8.61 |
Zhigang Bing | 3 | 6 | 1.50 |