Yannis Petalas Home Page

Yannis G. Petalas

Personal Information

I received my Engineering Diploma (5 years course) in 2000 from the Dept. of Computer Engineering and Informatics of the University of Patras at Greece.

I received my M.Sc. degree in 2004 from the interdepartmental program "Mathematics of Computers and Decision Making",
an association of Department of Mathematics and Computer Engineering and Informatics Department, at University of Patras, Greece.

Ph.D. in 2008 from the same interdepartmental program
Computational Intelligence Laboratory,
Supervisor: Michael N. Vrahatis,
Department of Mathematics,
University of Patras, Greece

Tel: +30 2610 997348
Fax: +30 2610 992965
email: petalas at math dot upatras dot gr

Research Interests

Computational Intelligence
Memetic Algorithms
Nonlinear Systems
Complex Systems

Science is built up with facts, as a house is with stones.

But a collection of facts is no more science than a heap of stones is a house.

Jules Henri Poincaré (1854-1912)

Publications in Journals

Petalas Y.G, Parsopoulos K.E and M.N Vrahatis: Memetic Particle Swarm Optimization, Annals of Operations Research, 156 (1), pp. 99-127, Springer, 2007. (pdf)
E.E. Stratikopoulos, A.A. Augustinos, Y. G. Petalas, M. N. Vrahatis, A. Mintzas, K. D. Mathiopoulos, and A. Zacharopoulou: An integrated genetic and cytogenetic map for the Mediterranean fruit fly, Ceratitis capitata, based on microsatellite and morphological markers, Genetica, Springer, 2007.
Petalas Y.G., Antonopoulos C.G., Bountis T.C. and Vrahatis M.N., Evolutionary Methods for the Approximation of the Stability Domain and Frequency Optimization of Conservative Maps, International Journal of Bifurcation and Chaos, 18 (8), pp. 2249-2264, 2008.(pdf)
Petalas Y.G., Parsopoulos K.E. and Vrahatis M.N., Stochastic Optimization for Detecting periodic orbits of Nonlinear Mappings, Nonlinear Phenomena in Complex Systems, 11 (2), pp. 285-291, 2008. (pdf)
Petalas Y.G., Parsopoulos K.E. and Vrahatis M.N., Improving Fuzzy Cognitive Maps Learning Through Memetic Particle Swarm Optimization,Soft Computing , 13 (1), pp. 77-94, Springer, 2009. (pdf)
Anastassiou S., Bountis T.C. and Petalas Y.G., On the topology of Lü attractor and related systems, Journal of Physics A: Mathematical and Theoritical , 41 (48), 485101 (13 pp.), 2008. (pdf)
Petalas Y.G., Antonopoulos C.G., Bountis T.C. and Vrahatis M.N., Detecting Resonances in Conservative Maps using Evolutionary Algorithms, Physics Letters A, 373 (3), pp. 334-341, 2009. (pdf)

Publications in Proceedings

2007

Petalas, Y.G., Parsopoulos, K.E., Papageorgiou, E.I., Groumpos, P.P., Vrahatis, M.N.: Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization, IEEE 2007 Swarm Intelligence Symposium (SIS'07), Hawaii (HI), USA, pp. 16-22, 2007. (pdf)
Petalas, Y.G., Parsopoulos, K.E., Vrahatis, M.N.: Entropy-Based Memetic Particle Swarm Optimization for Computing Periodic Orbits of Nonlinear Mappings, IEEE 2007 Congress on Evolutionary Computation (CEC'07), Singapore, accepted for publication. (pdf)

2006

Y. G. Petalas, Ch. Tsitouras, G. S. Androulakis and M. N. Vrahatis: Generating Symmetric Composition Methods through Memetic Algorithms, Lecture Series on Computer and Computational Sciences, VSP 2006.
C. G. Antonopoulos, Y. G. Petalas, T.C Bountis, M.N Vrahatis: Estimation of Dynamic Aperture of Symplectic Maps using Evolutionary Algorithms,In Proceedings of the 18th Summer School and Conference "Order and Chaos", Volos, Greece, ed. T. C. Bountis, (in Greek), 2006. (pdf)
Y.G Petalas and Ch. Tsitouras and G.S Androulakis and M.N Vrahatis: Evolutionary Generation of Runge-Kutta Pairs, Proceedings of the International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2006), 2006.
Y.G Petalas and C.G Antonopoulos and T.C Bountis and M.N Vrahatis: Detecting Resonances using Evolutionary Algorithms,Proceedings of the International Conference of "Computational Methods in Sciences and Engineering" (ICCMSE 2006), 2006. (pdf)

2005

Petalas, Y.G., Papageorgiou, E.I., Parsopoulos, K.E., Groumpos, P.P. and Vrahatis M.N: Interval Cognitive Maps, Proceedings of the International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2005), 2005. (pdf)
Petalas, Y.G., Papageorgiou, E.I., Parsopoulos, K.E., Groumpos, P.P. and Vrahatis M.N: Fuzzy Cognitive Maps Learning using Memetic Algorithms, Proceedings of the International Conference of "Computational Methods in Sciences and Engineering" (ICCMSE 2005), 2005. (pdf)

2004

Petalas Y.G., Tasoulis D.K. and Vrahatis M.N.: Trajectory methods for neural network training, Proceedings of The IASTED International Conference on Artificial Intelligence and Applications (AIA 2004), vol. 1, pp.400-408, ACTA Press, 2004, [ISBN: 0-88986-404-7], [ISSN: 1027-2666]. (pdf)
Petalas Y.G., Tasoulis D.K. and Vrahatis M.N.: Dynamic search trajectory methods for neural network training, Lecture Notes in Computer Science (LNCS), Volume 3070, June 2004, pp. 241-246. (ps)
Petalas Y.G. and Vrahatis M.N.: Trajectory methods for neural network supervised training, First International Conference From Scientific Computing to Computational Engineering, (IC-SCCE 2004), September 8-10, 2004, Athens, Greece. (pdf)
Petalas Y.G. and Vrahatis M.N.: Parallel tangent methods with variable stepsize , International Joint Conference on Neural Networks, (IJCNN 2004), July 25-29, 2004, Budapest, Hungary. (pdf)
Petalas Y.G. and Vrahatis M.N: Memetic algorithms for neural network training in bioinformatics , European Symposium on Intelligent Technologies, Hybrid Systems and their Implementation on Smart Adaptive Systems, (EUNITE 2004), pp 41-46, June 10-12, 2004, Aachen, Germany. (ps)
Petalas Y.G. and Vrahatis M.N: Memetic algorithms for neural network training in molecular biology, Fourth European Symposium on Biomedical Engineering, June 25-27, 2004, Patras, Greece. (pdf)

Copyright Notice: The documents available from this web page are provided as a means to ensure timely dissemination of technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted or reproduced without the explicit permission of the copyright holder (Springer-Verlag, ACM, IEEE, Elsevier, Academic Press, etc.). Permission to make digital or hard copies of part or all of these works for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage. The electronic version of some of the works available from this site may differ from the definitive published version.