| Record |
| Author |
Mejia, G.; Pereira, J. |
| Title |
Multiobjective scheduling algorithm for flexible manufacturing systems with Petri nets |
Type |
|
| Year |
2020 |
Publication |
Journal Of Manufacturing Systems |
Abbreviated Journal |
J. Manuf. Syst. |
| Volume |
54 |
Issue |
|
Pages |
272-284 |
| Keywords |
Machine scheduling; Multi-objective optimization; Petri nets |
| Abstract |
In this work, we focus on general multi-objective scheduling problems that can be modeled using a Petri net framework. Due to their generality, Petri nets are a useful abstraction that captures multiple characteristics of real-life processes. To provide a general solution procedure for the abstraction, we propose three alternative approaches using an indirect scheme to represent the solution: (1) a genetic algorithm that combines two objectives through a weighted fitness function, (2) a non dominated sorting genetic algorithm (NSGA-II) that explicitly addresses the multi-objective nature of the problem and (3) a multi-objective local search approach that simultaneously explores multiple candidate solutions. These algorithms are tested in an extensive computational experiment showing the applicability of this general framework to obtain quality solutions. |
| Address |
[Mejia, Gonzalo] Univ La Sabana, Fac Engn, Campus Puente del Comun, Chia, Colombia, Email: gonzalo.mejia@unisabana.edu.co; |
| Corporate Author |
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Thesis |
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| Publisher |
Elsevier Sci Ltd |
Place of Publication |
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Editor |
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| Language |
English |
Summary Language |
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Original Title |
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Series Editor  |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0278-6125 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
WOS:000521511500021 |
Approved |
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| Call Number |
UAI @ eduardo.moreno @ |
Serial |
1154 |
| Permanent link to this record |
