Haralambos Sarimveis

Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis: Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization. IEEE Trans. Neural Netw. Learning Syst. 24(2): 219-230 (2013)

Pantelis Sopasakis, Haralambos Sarimveis: An integer programming approach for optimal drug dose computation. Computer Methods and Programs in Biomedicine 108(3): 1022-1035 (2012)

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad: Model Predictive Control for Linear Impulsive Systems. CDC 2012: 5164-5169

Alex Alexandridis, Haralambos Sarimveis, Konstantinos Ninos: A Radial Basis Function network training algorithm using a non-symmetric partition of the input space - Application to a Model Predictive Control configuration. Advances in Engineering Software 42(10): 830-837 (2011)

Panagiotis Patrinos, Haralambos Sarimveis: Convex parametric piecewise quadratic optimization: Theory and algorithms. Automatica 47(8): 1770-1777 (2011)

Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis: A global piecewise smooth Newton method for fast large-scale model predictive control. Automatica 47(9): 2016-2022 (2011)

Panagiotis Patrinos, Haralambos Sarimveis: A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings. Automatica 46(9): 1405-1418 (2010)

Panagiotis Patrinos, Alex Alexandridis, Konstantinos Ninos, Haralambos Sarimveis: Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. Int. J. Neural Syst. 20(5): 365-379 (2010)

Barry J. Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry Druzhilovsky, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher: Collaborative development of predictive toxicology applications. J. Cheminformatics 2: 7 (2010)

Philip Doganis, Haralambos Sarimveis: Optimal production scheduling for the dairy industry. Annals OR 159(1): 315-331 (2008)

Eleni Aggelogiannaki, Haralambos Sarimveis: Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models. Computers & Chemical Engineering 32(6): 1225-1237 (2008)

Haralambos Sarimveis, Panagiotis Patrinos, Christos D. Tarantilis, Chris T. Kiranoudis: Dynamic modeling and control of supply chain systems: A review. Computers & OR 35(11): 3530-3561 (2008)

Athanassios Nikolakopoulos, Haralambos Sarimveis: A metaheuristic approach for the sequencing by hybridization problem with positive and negative errors. Eng. Appl. of AI 21(2): 247-258 (2008)

Ilias Maglogiannis, Haralambos Sarimveis, Chris T. Kiranoudis, Aristotelis A. Chatziioannou, N. Oikonomou, V. Aidinis: Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images. IEEE Transactions on Information Technology in Biomedicine 12(1): 42-54 (2008)

Athanassios Nikolakopoulos, Haralambos Sarimveis: A threshold accepting heuristic with intense local search for the solution of special instances of the traveling salesman problem. European Journal of Operational Research 177(3): 1911-1929 (2007)

Eleni Aggelogiannaki, Haralambos Sarimveis: A Simulated Annealing Algorithm for Prioritized Multiobjective Optimization-Implementation in an Adaptive Model Predictive Control Configuration. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(4): 902-915 (2007)

Haralambos Sarimveis, Philip Doganis, Alex Alexandridis: A classification technique based on radial basis function neural networks. Advances in Engineering Software 37(4): 218-221 (2006)

Haralambos Sarimveis, Athanassios Nikolakopoulos: A line up evolutionary algorithm for solving nonlinear constrained optimization problems. Computers & OR 32: 1499-1514 (2005)

George E. Tsekouras, Haralambos Sarimveis, Evagelia Kavakli, George V. Bafas: A hierarchical fuzzy-clustering approach to fuzzy modeling. Fuzzy Sets and Systems 150(2): 245-266 (2005)

Eleni Aggelogiannaki, Haralambos Sarimveis: Model predictive control for distributed parameter systems using rbf neural networks. ICINCO 2005: 19-24

Haralambos Sarimveis, Alex Alexandridis, Stefanos Mazarakis, George V. Bafas: A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms. Computers & Chemical Engineering 28(1-2): 209-217 (2004)

Haralambos Sarimveis, George V. Bafas: Fuzzy model predictive control of non-linear processes using genetic algorithms. Fuzzy Sets and Systems 139(1): 59-80 (2003)

Haralambos Sarimveis, Alex Alexandridis, George V. Bafas: A fast training algorithm for RBF networks based on subtractive clustering. Neurocomputing 51: 501-505 (2003)

Alex Alexandridis, Haralambos Sarimveis, George V. Bafas: A new algorithm for online structure and parameter adaptation of RBF networks. Neural Networks 16(7): 1003-1017 (2003)