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- W29986693 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." @default.
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- W29986693 date "2002-01-01" @default.
- W29986693 modified "2023-09-25" @default.
- W29986693 title "Improved Ant-Based Clustering and Sorting in a Document Retrieval Interface" @default.
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- W29986693 doi "https://doi.org/10.1007/3-540-45712-7_88" @default.
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