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.
Cite
CITATION STYLE
Sayoti, F., & Riffi, M. E. (2016). Golden Ball Algorithm for solving Flow Shop Scheduling Problem. International Journal of Interactive Multimedia and Artificial Intelligence, 4(1), 15–18. https://doi.org/10.9781/ijimai.2016.413
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