• DocumentCode
    12734
  • Title

    A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems

  • Author

    Marichelvam, Mariappan Kadarkarainadar ; Prabaharan, T. ; Xin She Yang

  • Author_Institution
    Kamaraj Coll. of Eng. & Technol., Virudhunagar, India
  • Volume
    18
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    301
  • Lastpage
    305
  • Abstract
    Hybrid flowshop scheduling problems include the generalization of flowshops with parallel machines in some stages. Hybrid flowshop scheduling problems are known to be NP-hard. Hence, researchers have proposed many heuristics and metaheuristic algorithms to tackle such challenging tasks. In this letter, a recently developed discrete firefly algorithm is extended to solve hybrid flowshop scheduling problems with two objectives. Makespan and mean flow time are the objective functions considered. Computational experiments are carried out to evaluate the performance of the proposed algorithm. The results show that the proposed algorithm outperforms many other metaheuristics in the literature.
  • Keywords
    flow shop scheduling; optimisation; parallel algorithms; NP-hard problem; discrete firefly algorithm; flowshops generalization; metaheuristic algorithms; multiobjective hybrid flowshop scheduling problems; parallel machines; Algorithm design and analysis; Doped fiber amplifiers; Genetic algorithms; Job shop scheduling; Optimization; Processor scheduling; Discrete firefly algorithm (DFA); heuristics; hybrid flowshop scheduling (HFS); makespan; mean flow time; metaheuristics;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/TEVC.2013.2240304
  • Filename
    6412790