Finding typical testors by using an evolutionary strategy

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“Finding typical testors by using an evolutionary strategy ” by Eduardo Alba-Cabrera, Roberto Santana, Alberto Ochoa, and Manuel Lazo-Cortés. In Proceedings of the Fith Ibero American Symposium on Pattern Recognition, (Lisbon, Portugal), 2000, pp. 267-278.

Abstract

The concept of testor appeared in the middle of the fifties. Testors and particularly typical testors, have been used in feature selection and supervised classification problems. Deterministic algorithms have usually been used to find typical testors. In this paper a new approach to find typical testors of a basic matrix is described. This approach is based on the application of the Univariate Marginal Distribution Algorithm as the kernel of a search strategy. The behavior of this algorithm is at least as well as the simple Genetic Algorithms with uniform crossover for the same kind of problems, but it is simpler and less costly in computational terms. Several experiments confirm the validity of this approach.

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BibTeX entry:

@inproceedings{Alba_et_al:2000,
   author = {Eduardo Alba-Cabrera and Roberto Santana and Alberto Ochoa
	and Manuel Lazo-Cort{\'e}s},
   title = {Finding typical testors by using an evolutionary strategy },
   booktitle = {Proceedings of the Fith Ibero American Symposium on
	Pattern Recognition},
   pages = {267-278},
   address = {Lisbon, Portugal},
   year = {2000},
   isbn = {972:97711-1-1}
}

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