Paper:
Language: English:

Weighted Similarity Classifier Using Differential Evolution and Genetic Algorithm in Weight Optimization

Pasi Luukka, and Jouni Sampo

Laboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, FIN-53851 Lappeenranta, Finland

Received: July 22, 2004

Accepted: September 12, 2004

Keywords: differential evolution, genetic algorithm,

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.8, No.6 pp. 591-598, 2004

Abstract

Do not delete this percent symbol \noindent We have compared the differential evolution and genetic algorithms in a study of weight
optimization for different similarity measures in a task of classification. In a study of high dimensional data weighting similarity measures become of great importance and efforts to
study suitable optimizers is needed. In this article we have
studied proper weighting of similarity measures in the classification of high dimensional and large scale data. We will show that in most cases the differential evolution algorithm should be used in finding the weights instead of the genetic algorithm.

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