Dynamic modeling and control of supply chain systems: A review H Sarimveis, P Patrinos, CD Tarantilis, CT Kiranoudis Computers & operations research 35 (11), 3530-3561, 2008 | 483 | 2008 |

A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level ED Mehleri, H Sarimveis, NC Markatos, LG Papageorgiou Energy 44 (1), 96-104, 2012 | 246 | 2012 |

Optimal design and operation of distributed energy systems: Application to Greek residential sector ED Mehleri, H Sarimveis, NC Markatos, LG Papageorgiou Renewable Energy 51 (33), 1e342, 2013 | 202 | 2013 |

Determination of the optimal tilt angle and orientation for solar photovoltaic arrays ED Mehleri, PL Zervas, H Sarimveis, JA Palyvos, NC Markatos Renewable energy 35 (11), 2468-2475, 2010 | 202 | 2010 |

Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing P Doganis, A Alexandridis, P Patrinos, H Sarimveis Journal of Food Engineering 75 (2), 196-204, 2006 | 197 | 2006 |

Fuzzy model predictive control of non-linear processes using genetic algorithms H Sarimveis, G Bafas Fuzzy sets and systems 139 (1), 59-80, 2003 | 158 | 2003 |

A hierarchical fuzzy-clustering approach to fuzzy modeling G Tsekouras, H Sarimveis, E Kavakli, G Bafas Fuzzy sets and systems 150 (2), 245-266, 2005 | 145 | 2005 |

A new algorithm for online structure and parameter adaptation of RBF networks A Alexandridis, H Sarimveis, G Bafas Neural Networks 16 (7), 1003-1017, 2003 | 125 | 2003 |

A fast and efficient algorithm for training radial basis function neural networks based on a fuzzy partition of the input space H Sarimveis, A Alexandridis, G Tsekouras, G Bafas Industrial & engineering chemistry research 41 (4), 751-759, 2002 | 121 | 2002 |

Collaborative development of predictive toxicology applications B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ... Journal of cheminformatics 2 (1), 7, 2010 | 119 | 2010 |

A GIS based operational system for wildland fire crisis management I. Mathematical modelling and simulation D Vakalis, H Sarimveis, C Kiranoudis, A Alexandridis, G Bafas Applied Mathematical Modelling 28 (4), 389-410, 2004 | 115* | 2004 |

A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms H Sarimveis, A Alexandridis, S Mazarakis, G Bafas Computers & chemical engineering 28 (1-2), 209-217, 2004 | 107 | 2004 |

A novel QSAR model for predicting induction of apoptosis by 4-aryl-4H-chromenes A Afantitis, G Melagraki, H Sarimveis, PA Koutentis, J Markopoulos, ... Bioorganic & medicinal chemistry 14 (19), 6686-6694, 2006 | 103 | 2006 |

QSAR study on para-substituted aromatic sulfonamides as carbonic anhydrase II inhibitors using topological information indices G Melagraki, A Afantitis, H Sarimveis, O Igglessi-Markopoulou, ... Bioorganic & medicinal chemistry 14 (4), 1108-1114, 2006 | 101 | 2006 |

Prediction of high weight polymers glass transition temperature using RBF neural networks A Afantitis, G Melagraki, K Makridima, A Alexandridis, H Sarimveis, ... Journal of molecular structure: THEOCHEM 716 (1-3), 193-198, 2005 | 96 | 2005 |

A fast training algorithm for RBF networks based on subtractive clustering H Sarimveis, A Alexandridis, G Bafas Neurocomputing 51, 501-505, 2003 | 96 | 2003 |

Model-based optimal control of a hybrid power generation system consisting of photovoltaic arrays and fuel cells PL Zervas, H Sarimveis, JA Palyvos, NCG Markatos Journal of power sources 181 (2), 327-338, 2008 | 95 | 2008 |

Optimization of window-openings design for thermal comfort in naturally ventilated buildings GM Stavrakakis, PL Zervas, H Sarimveis, NC Markatos Applied Mathematical Modelling 36 (1), 193-211, 2012 | 94 | 2012 |

Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models E Aggelogiannaki, H Sarimveis Computers & Chemical Engineering 32 (6), 1225-1237, 2008 | 91 | 2008 |

Radial basis function network training using a nonsymmetric partition of the input space and particle swarm optimization A Alexandridis, E Chondrodima, H Sarimveis IEEE transactions on neural networks and learning systems 24 (2), 219-230, 2012 | 89 | 2012 |