Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms K Atashkari, N Nariman-Zadeh, M Gölcü, A Khalkhali, A Jamali Energy Conversion and Management 48 (3), 1029-1041, 2007 | 218 | 2007 |
Hybrid genetic design of GMDH-type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process N Nariman-Zadeh, A Darvizeh, GR Ahmad-Zadeh Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2003 | 179 | 2003 |
Thermodynamic Pareto optimization of turbojet engines using multi-objective genetic algorithms K Atashkari, N Nariman-Zadeh, A Pilechi, A Jamali, X Yao International Journal of Thermal Sciences 44 (11), 1061-1071, 2005 | 170 | 2005 |
Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms H Ardalan, A Eslami, N Nariman-Zadeh Computers and Geotechnics 36 (4), 616-625, 2009 | 158 | 2009 |
Pareto optimal synthesis of four-bar mechanisms for path generation N Nariman-Zadeh, M Felezi, A Jamali, M Ganji Mechanism and Machine Theory 44 (1), 180-191, 2009 | 150 | 2009 |
Evolutionary design of generalized polynomial neural networks for modelling and prediction of explosive forming process N Nariman-Zadeh, A Darvizeh, A Jamali, A Moeini Journal of Materials Processing Technology 164, 1561-1571, 2005 | 147 | 2005 |
Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA) N Nariman-Zadeh, M Salehpour, A Jamali, E Haghgoo Engineering Applications of Artificial Intelligence 23 (4), 543-551, 2010 | 146 | 2010 |
Modelling of explosive cutting process of plates using GMDH-type neural network and singular value decomposition N Nariman-Zadeh, A Darvizeh, M Darvizeh, H Gharababaei Journal of Materials Processing Technology 128 (1-3), 80-87, 2002 | 140 | 2002 |
Modelling and Pareto optimization of heat transfer and flow coefficients in microchannels using GMDH type neural networks and genetic algorithms N Amanifard, N Nariman-Zadeh, M Borji, A Khalkhali, A Habibdoust Energy conversion and management 49 (2), 311-325, 2008 | 139 | 2008 |
Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process A Jamali, N Nariman-Zadeh, A Darvizeh, A Masoumi, S Hamrang Engineering Applications of Artificial Intelligence 22 (4-5), 676-687, 2009 | 134 | 2009 |
Modelling of multiple short-length-scale stall cells in an axial compressor using evolved GMDH neural networks N Amanifard, N Nariman-Zadeh, MH Farahani, A Khalkhali Energy Conversion and Management 49 (10), 2588-2594, 2008 | 114 | 2008 |
An investigation on the Su–NSPT correlation using GMDH type neural networks and genetic algorithms F Kalantary, H Ardalan, N Nariman-Zadeh Engineering Geology 104 (1-2), 144-155, 2009 | 108 | 2009 |
Inverse modelling of multi-objective thermodynamically optimized turbojet engines using GMDH-type neural networks and evolutionary algorithms N Nariman-Zadeh, K Atashkari, A Jamali, A Pilechi, X Yao Engineering Optimization 37 (5), 437-462, 2005 | 108 | 2005 |
Evolutionary design of generalized GMDH-type neural network for prediction of concrete compressive strength using UPV R Madandoust, R Ghavidel, N Nariman-Zadeh Computational Materials Science 49 (3), 556-567, 2010 | 103 | 2010 |
Sizing and topology optimization of truss structures using genetic programming H Assimi, A Jamali, N Nariman-Zadeh Swarm and evolutionary computation 37, 90-103, 2017 | 97 | 2017 |
Pareto optimal robust design of fractional-order PID controllers for systems with probabilistic uncertainties A Hajiloo, N Nariman-Zadeh, A Moeini Mechatronics 22 (6), 788-801, 2012 | 85 | 2012 |
A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model MJ Mahmoodabadi, AA Safaie, A Bagheri, N Nariman-Zadeh Applied Soft Computing 13 (5), 2577-2591, 2013 | 79 | 2013 |
Thermodynamic performance optimization of a combined power/cooling cycle M Pouraghaie, K Atashkari, SM Besarati, N Nariman-Zadeh Energy Conversion and Management 51 (1), 204-211, 2010 | 78 | 2010 |
Reliability-based robust Pareto design of linear state feedback controllers using a multi-objective uniform-diversity genetic algorithm (MUGA) A Jamali, A Hajiloo, N Nariman-Zadeh Expert systems with Applications 37 (1), 401-413, 2010 | 78 | 2010 |
Polynomial modelling of explosive compaction process of metallic powders using GMDH-type neural networks and singular value decomposition N Nariman-Zadeh, A Darvizeh, ME Felezi, H Gharababaei Modelling and Simulation in Materials Science and Engineering 10 (6), 727, 2002 | 78 | 2002 |