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C. FERREIRA In E. Lutton, J. A. Foster, J. Miller, C. Ryan, and A. G. B. Tettamanzi, eds., Proceedings of the 4th European Conference on Genetic Programming, Lecture Notes in Computer Science, Vol. 2278, pages 51-60, Springer-Verlag, Berlin, Germany, 2002. Discovery of the Boolean Functions to the Best Density-Classification Rules Using Gene Expression Programming Genetic Algorithms   Gene expression programming belongs to a wider group of genetic algorithms as it uses populations of individuals, selects individuals according to fitness, and introduces genetic variation using one or more genetic operators [2, 6]. Home | Contents | Previous | Next