Chaotic ant swarm for graph coloring

  title={Chaotic ant swarm for graph coloring},
  author={Fangzhen Ge and Zhen Wei and Yiming Tian and ZhenJin Huang},
  journal={2010 IEEE International Conference on Intelligent Computing and Intelligent Systems},
We present a hybrid chaotic ant swarm approach for the graph coloring problem (CASCOL). This approach is based on a novel swarm intelligence technique called chaotic ant swarm (CAS) and a simple greedy sequential coloring, First-Fit algorithm. We use the CAS evolutionary to improve First-Fit algorithm for GCP and formulate hybrid algorithm architecture. Computational experiments give evidence that our proposed algorithm is competitive with the existing algorithms for this problem. 
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, " Fuzzy system identification via chaotic ant swarm

  • Lixiang Li, Yixian Yang, Haipeng Peng
  • Chaos , Solutions & Fractals
  • 2009

Hybrid chaotic ant swarm optimization,

  • Y. Y. Li, Q. Y. Wen, L. X. Li, H. P. Peng
  • Chaos, Solitons and Fractals,
  • 2009

Heuristics for Graph Coloring," Computational Graph Theory, Comput. Suppl

  • D. de Werra
  • 1990

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