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2012 Solving Flexible Job-Shop Scheduling Problem Using Gravitational Search Algorithm and Colored Petri Net
Behnam Barzegar, Homayun Motameni, Hossein Bozorgi
J. Appl. Math. 2012: 1-20 (2012). DOI: 10.1155/2012/651310


Scheduled production system leads to avoiding stock accumulations, losses reduction, decreasing or even eliminating idol machines, and effort to better benefitting from machines for on time responding customer orders and supplying requested materials in suitable time. In flexible job-shop scheduling production systems, we could reduce time and costs by transferring and delivering operations on existing machines, that is, among NP-hard problems. The scheduling objective minimizes the maximal completion time of all the operations, which is denoted by Makespan. Different methods and algorithms have been presented for solving this problem. Having a reasonable scheduled production system has significant influence on improving effectiveness and attaining to organization goals. In this paper, new algorithm were proposed for flexible job-shop scheduling problem systems (FJSSP-GSPN) that is based on gravitational search algorithm (GSA). In the proposed method, the flexible job-shop scheduling problem systems was modeled by color Petri net and CPN tool and then a scheduled job was programmed by GSA algorithm. The experimental results showed that the proposed method has reasonable performance in comparison with other algorithms.


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Behnam Barzegar. Homayun Motameni. Hossein Bozorgi. "Solving Flexible Job-Shop Scheduling Problem Using Gravitational Search Algorithm and Colored Petri Net." J. Appl. Math. 2012 1 - 20, 2012.


Published: 2012
First available in Project Euclid: 14 December 2012

zbMATH: 1251.90114
MathSciNet: MR2960004
Digital Object Identifier: 10.1155/2012/651310

Rights: Copyright © 2012 Hindawi

Vol.2012 • 2012
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