Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014 (2014), Article ID 314728, 20 pages
http://dx.doi.org/10.1155/2014/314728
Research Article

Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data

1Institute of Polymers and Composites-I3N, University of Minho, Guimarães, Portugal
2Department of Computer Science, Universidad Carlos III de Madrid, Leganes, Madrid, Spain
3Department of Production and Systems Engineering, University of Minho, Braga, Portugal

Received 1 October 2013; Accepted 25 December 2013; Published 23 February 2014

Academic Editors: Z. Cui and X. Yang

Copyright © 2014 A. Gaspar-Cunha et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

A. Gaspar-Cunha, G. Recio, L. Costa, and C. Estébanez, “Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data,” The Scientific World Journal, vol. 2014, Article ID 314728, 20 pages, 2014. doi:10.1155/2014/314728