single-jc.php

JACIII Vol.8 No.6 pp. 591-598
doi: 10.20965/jaciii.2004.p0591
(2004)

Paper:

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
Published:
November 20, 2004
Keywords:
differential evolution, genetic algorithm,
Abstract

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.

Cite this article as:
Pasi Luukka and Jouni Sampo, “Weighted Similarity Classifier Using Differential Evolution and Genetic Algorithm in Weight Optimization,” J. Adv. Comput. Intell. Intell. Inform., Vol.8, No.6, pp. 591-598, 2004.
Data files:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 21, 2021