Improved Ant-Based Clustering and Sorting

  • Authors:
  • Julia Handl;Bernd Meyer

  • Affiliations:
  • -;-

  • Venue:
  • PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
  • Year:
  • 2002

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Abstract

Sorting and clustering methods inspired by the behavior of real ants are among the earliest methods in ant-based meta-heuristics. We revisit these methods in the context of a concrete application and introduce some modifications that yield significant improvements in terms of both quality and efficiency. Firstly, we re-examine their capability to simultaneously perform a combination of clustering and multi-dimensional scaling. In contrast to the assumptions made in earlier literature, our results suggest that these algorithms perform scaling only to a very limited degree. We show how to improve on this by some modifications of the algorithm and a hybridization with a simple pre-processing phase. Secondly, we discuss how the time-complexity of these algorithms can be improved. The improved algorithms are used as the core mechanism in a visual document retrieval system for world-wide web searches.