HDACC: a heuristic density-based ant colony clustering algorithm

@article{Chen2004HDACCAH,
  title={HDACC: a heuristic density-based ant colony clustering algorithm},
  author={Yun-Fei Chen and Chanadio Abdul Fattah and Yu-Shu Liu and Gangway Yan},
  journal={Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).},
  year={2004},
  pages={397-400}
}
We present a new heuristic density-based ant colony clustering algorithm (HDACC). Firstly, the device of "memory bank" is proposed, which can bring forth heuristic knowledge guiding an ant to move in the bi-dimensional grid space. Hence the randomness of the ant's motion decreases and algorithm convergence speeds up. In addition, the memory bank makes it possible for every object to be inspected before the algorithm is terminated, which avoids the production of an "unassigned data object". So… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
4 Citations
6 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-6 of 6 references

Diversity and adaption in populations of clustering ants

  • E. Lumer, B. Faieta
  • In Proc. of the 3rd International conference on…
  • 1994
Highly Influential
13 Excerpts

SIM: A Document Clustering Algorithm Based on Swarm Intelligence

  • B. Wu, Y. Zheng, S. Liu
  • IEEE World Congress on Computational Intelligence…
  • 2002
Highly Influential
12 Excerpts

The dynamics of collective sorting : robot-like ants and ant-like robots

  • J. L .Deneubourg, S. Goss, N. Frank
  • In Proc. of the 1st International Conference on…
  • 1991
2 Excerpts

Similar Papers

Loading similar papers…