PST: a new evolutionary approach to topographic mapping

Authors:
Massimo Buscema;Stefano Terzi
Affiliations:
Semeion Research Centre of Science of Communication, Rome, Italy;Semeion Research Centre of Science of Communication, Rome, Italy
Venue:
EC'06 Proceedings of the 7th WSEAS International Conference on Evolutionary Computing
Year:
2006

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Abstract

In this paper we approach the problem of Topographic Mapping. We introduce a new algorithm based on an evolutionary approach with very competitive performances in alternative to some algorithms found in literature. The Pick and Squash algorithm (P.S.T.) is also able to manage incomplete data and it is metric independent.