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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Carro-Calvo, L., Salcedo-Sanz, S., Gil-Pita, R., Portilla-Figueras, A., & Rosa-Zurera, M. (2007). An evolution of geometric structures algorithm for the automatic classification of HRR radar targets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4881 LNCS, pp. 1151–1159). Springer Verlag. https://doi.org/10.1007/978-3-540-77226-2_115
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