Genetic algorithm-based pattern classification: Relationship with bayes classifier

Document Type

Book Chapter

Publication Title

Genetic Algorithms for Pattern Recognition

Abstract

In this chapter, an investigation is carried out to formulate theoretical results regarding the behavior of a genetic algorithm-based pattern classification methodology, for an infinitely large number of sample points n, in an N dimensional space RN. It is shown that for n → ∞, and for a sufficiently large number of iterations, the performance of this classifier approaches that of the Bayes classifier. Experimental results, for a triangular distribution of points, are also included that conform to this claim.

First Page

127

Last Page

144

DOI

10.1201/9780203713402

Publication Date

1-1-2017

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