Spyros Kazarlis
Spyros Kazarlis
Professor, Dept. of Informatics Engineering, Technological Educational Institute of Central
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Zitiert von
Zitiert von
A genetic algorithm solution to the unit commitment problem
SA Kazarlis, AG Bakirtzis, V Petridis
IEEE transactions on power systems 11 (1), 83-92, 1996
Genetic algorithm solution to the economic dispatch problem
A Bakirtzis, V Petridis, S Kazarlis
IEE proceedings-generation, transmission and distribution 141 (4), 377-382, 1994
Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems
V Petridis, S Kazarlis, A Bakirtzis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998
Varying fitness functions in genetic algorithms: Studying the rate of increase of the dynamic penalty terms
S Kazarlis, V Petridis
International conference on parallel problem solving from nature, 211-220, 1998
Solving university timetabling problems using advanced genetic algorithms
S Kazarlis, V Petridis, P Fragkou
GAs 2 (7), 8-12, 2005
ACES: An interactive software platform for self-instruction and self-evaluation in automatic control systems
V Petridis, S Kazarlis, VG Kaburlasos
IEEE Transactions on Education 46 (1), 102-110, 2003
A hybrid genetic algorithm for training neural networks
V Petridis, S Kazarlis, A Papaikonomou, A Filelis
Artificial Neural Networks, 953-956, 1992
Varying quality function in genetic algorithms and the cutting problem
V Petridis, S Kazarlis
Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE …, 1994
A genetic algorithm for training recurrent neural networks
R Petridis, S Kazaplis, A Papaikonomou
Proceedings of 1993 International Conference on Neural Networks (IJCNN-93 …, 1993
Intelligent clustering techniques for prediction of sugar production
VG Kaburlasos, V Spais, V Petridis, L Petrou, S Kazarlis, N Maslaris, ...
Mathematics and Computers in Simulation 60 (3-5), 159-168, 2002
A genetic programming approach to telecommunications fraud detection and classification
CS Hilas, SA Kazarlis, IT Rekanos, PA Mastorocostas
Proc. 2014 Int. Conf. Circuits, Syst. Signal Process. Commun. Comput, 77-83, 2014
Genetic algorithms
A Bakirtzis, S Kazarlis
Advanced Solutions in Power Systems: HVDC, FACTS, and Artificial …, 2016
A Cartesian Genetic Programming Approach for evolving Optimal Digital Circuits.
SA Kazarlis, J Kalomiros, V Kalaitzis
Journal of Engineering Science & Technology Review 9 (5), 2016
Evolving optimal digital circuits using Cartesian genetic programming with solution repair methods
S Kazarlis, J Kalomiros, A Balouktsis, V Kalaitzis
Proceedings of the 2015 International Conference on Systems, Control, Signal …, 2015
A method for simulating digital circuits for evolutionary optimization
S Kazarlis, J Kalomiros, P Mastorocostas, V Petridis, A Balouktsis, ...
Proceedings of the 10th Annual International Joint Conferences on Computer …, 2014
A genetically optimized ensemble of is/spl sigma/-FLNMAP neural classifiers based on non-parametric probability distribution functions
VG Kaburlasos, SE Papadakis, S Kazarlis
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
Intrinsic evolution of digital circuits based on a reconfigurable hyper-structure
S Kazarlis, J Kalomiros, V Kalaitzis, A Balouktsis, D Bogas
IEEE EUROCON 2015-International Conference on Computer as a Tool (EUROCON), 1-6, 2015
σ-FLNMAP with Voting (σFLNMAPwV): A genetically optimized ensemble of classifiers with the capacity to deal with partially-ordered, disparate types of data. Application to …
VG Kaburlasos, S Kazarlis
Proc. 4th Intl. Conf. on Technology & Automation, 276-281, 2002
Advanced Methods for Evolutionary Optimisation
P Adamidis, S Kazarlis, V Petridis
IFAC Proceedings Volumes 31 (20), 1121-1128, 1998
Constraint Handling Methods in Genetic Algorithms
SA Kazarlis
Proceedings of the 11th Panhellenic Conference in Informatics (PCI 2007 …, 2007
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