An evolution of geometric structures algorithm for the automatic classification of HRR radar targets

Authors:
Leopoldo Carro-Calvo;Sancho Salcedo-Sanz;Roberto Gil-Pita;Antonio Portilla-Figueras;Manuel Rosa-Zurera
Affiliations:
Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain
Venue:
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Year:
2007

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Abstract

This paper presents a novel approach to solve multiclass classification problems using pure evolutionary techniques. The proposed approach is called Evolution of Geometric Structures algorithm, and consists in the evolution of several geometric structures such as hypercubes, hyperspheres, hyperoctahedrons, etc. to obtain a first division of the samples space, which will be re-evolved in a second step in order to solve samples belonging to two or more structures. We have applied the EGS algorithm to a well known multiclass classification problem, where our approach will be compared with several existing classification algorithms.