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    • Revista IJIMAI
    • 2016
    • vol. 4, nº 1, september 2016
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    • Revista IJIMAI
    • 2016
    • vol. 4, nº 1, september 2016
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    Golden Ball Algorithm for solving Flow Shop Scheduling Problem

    Autor: 
    Sayoti, Fatima
    ;
    Essaid Riffi, Mohammed
    Fecha: 
    09/2016
    Palabra clave: 
    makespan; scheduling; flow shop; combinatorial optimization; golden ball algorithm; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11567
    DOI: 
    http://doi.org/10.9781/ijimai.2016.413
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2521
    Open Access
    Resumen:
    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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