Golden Ball Algorithm for solving Flow Shop Scheduling Problem
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| Abstract |
The Flow Shop Scheduling Problem (FSSP) is notoriously NP-hard combinatorial optimization problem. The goal is to find a schedule that minimizes the makespan. This paper proposes an adaptation of a new approach called Golden Ball Algorithm (GBA). The proposed algorithm has been never tested with FSSP; it’s based on soccer concept to obtain the optimal solution. Numerical results are presented for 22 instances of OR- Library. The computational results indicate that this approach is practical for small OR-Library instances.
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| Year of Publication |
2016
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| Journal |
International Journal of Interactive Multimedia and Artificial Intelligence
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| Volume |
4
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| Issue |
Special Issue on Artificial Intelligence Underpinning
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| Number |
1
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| Number of Pages |
15-18
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| Date Published |
09/2016
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| ISSN Number |
1989-1660
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| Attachment |
ijimai20164_1_3.pdf753.97 KB
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