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International Refereed Conferences:

C1.
N. G. Pavlidis, E. G. Pavlidis and M. N. Vrahatis.
Optimizing Trading Strategies through Genetic Programming,
Conference of the Applied Econometrics Association (AEA) on Exchange rates and Risk Econometrics, Athens, Greece, 2006.

C2.
N. G. Pavlidis, D. K. Tasoulis, V. P. Plagianakos and M. N. Vrahatis.
Human Designed Vs. Genetically Programmed Differential Evolution Operators,
In IEEE Congress on Evolutionary Computation (CEC 2006), pp. 1880-1886, 2006.

C3.
N. G. Pavlidis, D. K. Tasoulis, V. P. Plagianakos, C. Siriopoulos and M. N. Vrahatis.
Computational Intelligence Methods for Financial Forecasting,
In Lecture Series on Computer and Computational Sciences: Proceedings of the International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2005), 4(B):1416-1419, 2005.

C4.
A. V. Adamopoulos and N. G. Pavlidis and M. N. Vrahatis.
Genetic Algorithm Evolution of Cellular Automata Rules for Complex Binary Sequence Prediction,
In Lecture Series on Computer and Computational Sciences: Proceedings of the International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2005), 4(B):1424-1427, 2005.

C5.
A. V. Adamopoulos and S. Likothanassis and N. G. Pavlidis and M. N. Vrahatis.
Short-term prediction of complex binary data,
In International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2005), 2005.

C6.
N. G. Pavlidis, D. K. Tasoulis and M. N. Vrahatis.
Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction,
Fourth IASTED International Conference on Computational Intelligence, pp. 456-461, 2005.

C7.
N. G. Pavlidis, D. K. Tasoulis, V. P. Plagianakos, G. Nikiforidis and M. N. Vrahatis.
Spiking neural network training using evolutionary algorithms,
In International Joint Conference on Neural Networks, 2005.

C8.
B. Mourrain, N. G. Pavlidis, D. K. Tasoulis and M. N. Vrahatis.
Computing the number of real roots of polynomials through neural networks,
In T. E. Simos and Ch. Tsitouras, editors, International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2004), pp. 276-279. Wiley-VCH Verlag GmbH & Co., Weinheim, 2004.

C9.
K. E. Parsopoulos, D. K. Tasoulis, N. G. Pavlidis, V. P. Plagianakos and M. N. Vrahatis.
Vector evaluated differential evolution for multiobjective optimization,
In Congress on Evolutionary Computation (CEC 2004), Portland, Oregon, pp. 204-211, 2004.

C10.
D. K. Tasoulis, N. G. Pavlidis, V. P. Plagianakos and M. N. Vrahatis.
Parallel differential evolution,
In Congress on Evolutionary Computation (CEC 2004), Portland, Oregon, 2004.

C11.
V. L. Georgiou, N. G. Pavlidis, K. E. Parsopoulos, Ph. D. Alevizos and M. N. Vrahatis.
Evolutionary Adaptive Schemes of Probabilistic Neural Networks,
In Lecture Series on Computer and Computational Sciences: Proceedings of the International Conference of Computational Methods in Sciences and Engineering'' (ICCMSE 2004), pp. 852-855, 2004.

C12.
V. L. Georgiou, N. G. Pavlidis, K. E. Parsopoulos, Ph. D. Alevizos and M. N. Vrahatis.
Optimizing the Performance of Probabilistic Neural Networks in a Bioinformatics Task,
In Proceedings of the EUNITE 2004 Conference, pp. 34-40, 2004.

C13.
N. G. Pavlidis, D. K. Tasoulis and M. N. Vrahatis.
Financial forecasting through unsupervised clustering and evolutionary trained neural networks,
In Congress on Evolutionary Computation, Canberra Australia, pp. 2314-2321, 2003.

C14.
N. G. Pavlidis, D. K. Tasoulis and M. N. Vrahatis.
Exchange rate forecasting through unsupervised clustering and artificial neural networks,
In Computational Management Science Conference, Chania Greece, 2003.

C15.
N. G. Pavlidis, K. E. Parsopoulos and M. N. Vrahatis.
Computing Nash Equilibria Through Particle Swarm Optimization,
In Proceedings of the International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2003), pp. 484-489, 2003.


next up previous
Next: Citations by Other Authors: Up: Publications Previous: Edited Volumes:
2007-05-29