• DocumentCode
    575713
  • Title

    A hybrid strategy for the quadratic assignment problem

  • Author

    Lv, Congying

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Nanyang Inst. of Technol., Nanyang, China
  • Volume
    2
  • fYear
    2012
  • fDate
    20-21 Oct. 2012
  • Firstpage
    31
  • Lastpage
    34
  • Abstract
    Quadratic assignment problem is one of the classical NP- hard problems in combinatorial optimization field. A hybrid strategy for ant colony algorithm and Taboo search algorithm are proposed. Ant colony algorithm is good for finding the best local solution, whereas its global search depended on selection of the evaporation coefficient. Taboo search algorithm has a strong global search, and but its local search is susceptible to the effect of dispersion. To take full advantage of the advantages of these two algorithms, the paper uses a combination of the two algorithms. The experimental results show the proposed hybrid strategy is feasible and efficient.
  • Keywords
    ant colony optimisation; combinatorial mathematics; computational complexity; search problems; NP-hard problems; ant colony algorithm; combinatorial optimization field; dispersion effect; evaporation coefficient selection; global search; hybrid strategy; local search; quadratic assignment problem; taboo search algorithm; Taboo search; ant colony algorithm; hybrid strategy; quadratic assignment problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-1932-4
  • Type

    conf

  • DOI
    10.1109/ICIII.2012.6339770
  • Filename
    6339770