• DocumentCode
    1770073
  • Title

    Artificial Bee Colony to solve seafaring staff scheduling problem: A real case

  • Author

    Koubaa, Mohamed ; Elloumi, Sourour ; Dhouib, Souhail

  • Author_Institution
    LOGIQ Res. Unit, Univ. of Sfax, Sfax, Tunisia
  • fYear
    2014
  • fDate
    1-3 May 2014
  • Firstpage
    314
  • Lastpage
    318
  • Abstract
    Personnel scheduling problem is a combinatorial optimization problem which belongs to NP-hard set of problems. In this paper, we propose to solve a seafaring staff scheduling problem through the use of the Artificial Bee Colony method. The central aim of this work is to offer a productive way in order to release a benchmarking between the results produced by the artificial Bee Colony method and those obtained by the traditionally applied method. The results show that this method outperforms the traditional one. Besides, this algorithm enables us to give the maximum of coverage with a less computational time.
  • Keywords
    combinatorial mathematics; computational complexity; optimisation; personnel; scheduling; NP-hard problem; artificial bee colony method; combinatorial optimization problem; computational time; personnel scheduling problem; seafaring staff scheduling problem; Benchmark testing; Genetic algorithms; Optimization; Particle swarm optimization; Personnel; Processor scheduling; Scheduling; Aritificial Bee Colony; Scheduling; Seafaring Staff;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Logistics and Transport (ICALT), 2014 International Conference on
  • Conference_Location
    Hammamet
  • Type

    conf

  • DOI
    10.1109/ICAdLT.2014.6866331
  • Filename
    6866331