Vassilios Petridis mainly focuses on Artificial neural network, Artificial intelligence, Mathematical optimization, Genetic algorithm and Dynamic programming. His work on Adaptive resonance theory as part of general Artificial neural network research is frequently linked to Term, bridging the gap between disciplines. His work on Fuzzy set, Text categorization and Word as part of general Artificial intelligence research is often related to Data type, thus linking different fields of science.
In general Mathematical optimization, his work in Fitness function and Linear programming is often linked to Power system simulation and Energy management linking many areas of study. His Fitness function research is multidisciplinary, incorporating elements of Optimal control, Quadratic programming and Constrained optimization. His Genetic algorithm study often links to related topics such as Control theory.
Vassilios Petridis mainly investigates Artificial intelligence, Artificial neural network, Algorithm, Control theory and Machine learning. His Artificial intelligence research incorporates themes from Computer vision and Pattern recognition. His work carried out in the field of Artificial neural network brings together such families of science as Bayesian probability and Cluster analysis.
The various areas that Vassilios Petridis examines in his Algorithm study include Development, Feedforward neural network, Stability and Genetic algorithm, Mathematical optimization. In the field of Genetic algorithm, his study on Population-based incremental learning overlaps with subjects such as Population. His research in the fields of Fitness function and Constrained optimization overlaps with other disciplines such as Power system simulation and Data allocation.
Vassilios Petridis mostly deals with Artificial intelligence, Artificial neural network, Pattern recognition, Particle filter and Computer vision. His study connects Machine learning and Artificial intelligence. The study incorporates disciplines such as Feature extraction, Lattice, Cluster analysis and Pattern recognition in addition to Artificial neural network.
His Particle filter research also works with subjects such as
His primary scientific interests are in Artificial intelligence, Algorithm, Pattern recognition, Artificial neural network and Pattern recognition. His Artificial intelligence research focuses on Machine learning and how it relates to Fuzzy rule and Fuzzy set. Vassilios Petridis has included themes like Simultaneous localization and mapping, Extended Kalman filter, Mathematical optimization and Curse of dimensionality in his Algorithm study.
His Genetic algorithm and Metaheuristic study in the realm of Mathematical optimization interacts with subjects such as Power system security. His Artificial neural network research is multidisciplinary, incorporating elements of Feature, Expert system, Speech recognition and Robustness. His Pattern recognition study combines topics from a wide range of disciplines, such as Fuzzy classification and Ant colony optimization algorithms.
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A genetic algorithm solution to the unit commitment problem
S.A. Kazarlis;A.G. Bakirtzis;V. Petridis.
IEEE Transactions on Power Systems (1996)
Optimal power flow by enhanced genetic algorithm
A. G. Bakirtzis;P. N. Biskas;C. E. Zoumas;V. Petridis.
IEEE Transactions on Power Systems (2002)
A neural network short term load forecasting model for the Greek power system
A.G. Bakirtzis;V. Petridis;S.J. Kiartzis;M.C. Alexiadis.
power engineering society summer meeting (1996)
Genetic algorithm solution to the economic dispatch problem
A. Bakirtzis;V. Petridis;S. Kazarlis.
IEE Proceedings - Generation, Transmission and Distribution (1994)
A genetic algorithm solution approach to the hydrothermal coordination problem
C.E. Zoumas;A.G. Bakirtzis;J.B. Theocharis;V. Petridis.
IEEE Transactions on Power Systems (2004)
Microgenetic algorithms as generalized hill-climbing operators for GA optimization
S.A. Kazarlis;S.E. Papadakis;J.B. Theocharis;V. Petridis.
IEEE Transactions on Evolutionary Computation (2001)
Fuzzy lattice neurocomputing (FLN) models
V. G. Kaburlasos;V. Petridis.
Neural Networks (2000)
Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems
V. Petridis;S. Kazarlis;A. Bakirtzis.
systems man and cybernetics (1998)
A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms
Athanasios Kehagias;Vassilios Petridis;Vassilis G. Kaburlasos;Pavlina Fragkou.
intelligent information systems (2003)
Fuzzy lattice neural network (FLNN): a hybrid model for learning
V. Petridis;V.G. Kaburlasos.
IEEE Transactions on Neural Networks (1998)
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