1. Bradley, P.S., Mangasarian, O.L., 1998. Feature selection via concave minimization and support vector machines. In: Shavlik, J. (Ed.), Proceedings of the 15th International Conference on Machine Learning, pp. 82–90.
2. Brank, J., Grobelnik, M., Milic-Frayling, N., Mladenic, D., 2002. Feature selection using linear support vector machines. Technical Report, MSR-TR-2002-63, Microsoft Research, Microsoft Corporation.
3. Chi, H.M., Ersoy, O., Moskowitz, H., 2005. Feature selection using random probes and linear support vector machines. In: Computational Intelligence: Methods and Applications (CIMA), Istanbul, Turkey, December 15–17, in press.
4. Chipperfield, A.J., Fleming, P.J., Pohlheim, H., Fonseca, C.M., 1994. Genetic algorithm toolbox user’s guide. ACSE Research Report No. 512, University of Sheffield.
5. A learning-based methodology for dynamic scheduling in distributed manufacturing systems;Chiu;International Journal of Production Research,1995