[[1] C. M. Fonseca, E. M. Mendes, P. J. Fleming, and S. A. Billings, Non-linear Model Term Selection with Genetic Algorithms, 1993.]Search in Google Scholar
[[2] J. H. Friedman and J. W. Tukey, A projection pursuit algorithm for exploratory data analysis, IEEE Trans. Comput., C23(9), (1974), 881890.10.1109/T-C.1974.224051]Search in Google Scholar
[[3] J.H. Friedman, Exploratory Projection Pursuit, American Statistical Association, (1987), 249266.10.1080/01621459.1987.10478427]Search in Google Scholar
[[4] J. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, 1975.]Search in Google Scholar
[[5] M. C. Jones and R. Sibson, What is projection pursuit? (with discussion), J. R.Statist. Soc. A, 150, (1987), 136.10.2307/2981662]Search in Google Scholar
[[6] J. B. Kruskal, Toward a practical method which helps uncover the structure of a set of multivariate observations by finding the linear transformation which optimizes a new ’index of condensation’, Statistical Computation Ed. by R.C. Milton and J.A. Nelder, Academic Press, New York, 1969.10.1016/B978-0-12-498150-8.50024-0]Search in Google Scholar
[[7] J. Mao and A.K. Jain, Discriminant analysis neural networks, 1993, 300-305.]Search in Google Scholar
[[8] S. Mika, G. Ratsch, J. Weston, B. Scholkoph, and K.R. Mullers, Fisher discriminant analysis with kernels, Neural Networks for Signal Processing, (1999.)]Search in Google Scholar
[[9] K. Price, R.M. Storn, and J.A. Lampinen, Differential Evolution: A Practical Approach to Global Optimization, Springer, 2005.]Search in Google Scholar
[[10] V. Vemuri and W. Cedeo, Multi-Niche Crowding for Multimodal Search, Practical Handbook of Genetic Algorithms: New Frontiers, Ed. Lance Chambers, 1995.]Search in Google Scholar
[[11] D Zaharie, Influence of crossover on the behavior of Differential Evolution Algo- rithms, Applied Soft Computing, 9(3), (2009), 1126-1138. 10.1016/j.asoc.2009.02.012]Search in Google Scholar
