• DocumentCode
    3462528
  • Title

    An evolutionary approach for graph coloring

  • Author

    Ali, Fathelalem F. ; Nakao, Zensho ; Tan, Richard B. ; Chen, Yen-wei

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of the Ryukyus, Okinawa, Japan
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    527
  • Abstract
    Presents an evolutionary algorithm for graph coloring problems. The proposed evolutionary algorithm works on artificial strings each of which represents some coloring solution. Using robust encoding and genetic operators, the algorithm exploits, and evolves new better solutions. The algorithm is applied to random normal graphs, and λ-coloring problems. Results as good as the best heuristic and local search methods are obtained
  • Keywords
    computational complexity; genetic algorithms; graph colouring; λ-coloring problems; artificial strings; evolutionary approach; genetic operators; random normal graphs; robust encoding; Application specific integrated circuits; Computer science; Evolutionary computation; Genetics; Group technology; Manufacturing; NP-hard problem; Optimization methods; Robustness; Search methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-5731-0
  • Type

    conf

  • DOI
    10.1109/ICSMC.1999.815607
  • Filename
    815607