• DocumentCode
    2136121
  • Title

    An ant algorithm for solving the four-coloring map problem

  • Author

    Hongshun Chen ; Peng Zhou

  • Author_Institution
    Sch. of Inf. Technol., Beijing Normal Univ., Zhuhai, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    491
  • Lastpage
    495
  • Abstract
    An undirected graph can demonstrate adjacency relationships among regions in a planar map, and the four-coloring map problem is then converted into a graph vertex coloring problem with constraints. In order to solve the graph vertex coloring problem, an ant algorithm hybridized with a greedy algorithm was proposed. In this algorithm, ants in an ant colony with a given size separately move from one vertex to another according to their transition probability, and a greedy algorithm is used to initialize the proposed algorithm for improving its efficiency. Finally, the improved algorithm was tested by coloring the administrative map of Hunan Province, China, and results show that it is good at finding the optimal value, speed and stability.
  • Keywords
    ant colony optimisation; computational complexity; graph colouring; greedy algorithms; China; Hunan Province; NP-complete problem; administrative map; ant colony algorithm; constraints; four-coloring map problem; graph vertex coloring problem; greedy algorithm; transition probability; Algorithm design and analysis; Color; Computers; Educational institutions; Greedy algorithms; Optimization; Particle swarm optimization; ant algorithm; combinatorial optimization; four-coloring problem; graph coloring problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2013 Ninth International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/ICNC.2013.6818026
  • Filename
    6818026