S. Kazarlis

A genetically optimized ensemble of is /spl sigma/-FLNMAP neural classifiers based on non-parametric probability distribution functions

S. Papadakis, V. Kaburlasos, S. Kazarlis, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

A hybrid genetic algorithm for training neural networks

Vassilios Petridis, S. Kazarlis, A. Papaikonomou, 1992 .

Microgenetic algorithms as generalized hill-climbing operators for GA optimization

Ioannis B. Theocharis, Vassilios Petridis, Spiridon A. Kazarlis, 2001, IEEE Trans. Evol. Comput..

Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems

Vassilios Petridis, Spiridon A. Kazarlis, A. G. Bakirtzis, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms

Vassilios Petridis, Spiridon A. Kazarlis, V. Petridis, 1998, PPSN.

Genetic algorithm solution to the economic dispatch problem

Anastasios G. Bakirtzis, Vassilios Petridis, S. Kazarlis, 1994 .

Varying quality function in genetic algorithms and the cutting problem

Vassilios Petridis, Spiridon A. Kazarlis, V. Petridis, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.