A search ant and labor ant algorithm for clustering data

Authors:
Heesang Lee;Gyuseok Shim;Yun Bae Kim;Jinsoo Park;Jaebum Kim
Affiliations:
Sunkyunkwan University, Suwon, Korea;Sunkyunkwan University, Suwon, Korea;Sunkyunkwan University, Suwon, Korea;Sunkyunkwan University, Suwon, Korea;Sunkyunkwan University, Suwon, Korea
Venue:
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Year:
2006

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Abstract

In 1990, Deneubourg et al. [1] developed the first ant clustering algorithm based on mimicking corpse piling process of ants. In his algorithm, an ant picks up and drops the data items based on the similarity of ant’s local neighborhoods. Labroche et al. [2] developed a different ant algorithm, AntClust, based on chemical odor and some behavioral rules of ants.