| Using a multi-state recurrent neural network to optimize loading patterns in BWRs JJ Ortiz, I Requena Annals of Nuclear Energy 31 (7), 789-803, 2004 | 83 | 2004 |
| An order coding genetic algorithm to optimize fuel reloads in a nuclear boiling water reactor JJ Ortiz, I Requena Nuclear Science and Engineering 146 (1), 88-98, 2004 | 60 | 2004 |
| Searching for full power control rod patterns in a boiling water reactor using genetic algorithms JL Montes, JJ Ortiz, I Requena, R Perusquía Annals of nuclear energy 31 (16), 1939-1954, 2004 | 47 | 2004 |
| BWR control rod design using tabu search JA Castillo, JJ Ortiz, G Alonso, LB Morales, E del Valle Annals of Nuclear Energy 32 (7), 741-754, 2005 | 38 | 2005 |
| Fuel loading and control rod patterns optimization in a BWR using tabu search A Castillo, JJ Ortiz, JL Montes, R Perusquía Annals of Nuclear Energy 34 (3), 207-212, 2007 | 37 | 2007 |
| Local power peaking factor estimation in nuclear fuel by artificial neural networks JL Montes, JL François, JJ Ortiz, C Martín-del-Campo, R Perusquía Annals of nuclear energy 36 (1), 121-130, 2009 | 34 | 2009 |
| Nuclear fuel lattice optimization using neural networks and a fuzzy logic system JJ Ortiz, A Castillo, JL Montes, R Perusquía, JL Hernández Nuclear Science and Engineering 162 (2), 148-157, 2009 | 31 | 2009 |
| Using neural networks to predict core parameters in a boiling water reactor JJ Ortiz, I Requena Nuclear Science and Engineering 143 (3), 254-267, 2003 | 28 | 2003 |
| A new system to fuel loading and control rod pattern optimization in boiling water reactors JJ Ortiz, A Castillo, JL Montes, R Perusquía Nuclear Science and Engineering 157 (2), 236-244, 2007 | 27 | 2007 |
| Comparison of metaheuristic optimization techniques for BWR fuel reloads pattern design JL François, JJ Ortiz-Servin, C Martín-del-Campo, A Castillo, ... Annals of Nuclear Energy 51, 189-195, 2013 | 25 | 2013 |
| Azcaxalli: A system based on Ant Colony Optimization algorithms, applied to fuel reloads design in a Boiling Water Reactor J Esquivel-Estrada, JJ Ortiz-Servin, JA Castillo, R Perusquía Annals of Nuclear Energy 38 (1), 103-111, 2011 | 21 | 2011 |
| Azcatl-CRP: An ant colony-based system for searching full power control rod patterns in BWRs JJ Ortiz, I Requena Annals of Nuclear Energy 33 (1), 30-36, 2006 | 21 | 2006 |
| Fuel lattice design in a boiling water reactor using an ant-colony-based system JL Montes, JL Francois, JJ Ortiz, C Martin-del-Campo, R Perusquia Annals of Nuclear Energy 38 (6), 1327-1338, 2011 | 20 | 2011 |
| Fuel lattice design with Path Relinking in BWR’s A Castillo, JJ Ortiz-Servin, R Perusquía, YC Silvestre Progress in Nuclear Energy 53 (4), 368-374, 2011 | 18 | 2011 |
| Comparison of heuristic optimization techniques for the enrichment and gadolinia distribution in BWR fuel lattices and decision analysis A Castillo, C Martín-del-Campo, JL Montes-Tadeo, JL François, ... Annals of Nuclear Energy 63, 556-564, 2014 | 17 | 2014 |
| GreeNN: A hybrid method for the coupled optimization of the axial and radial design of BWR fuel assemblies JJ Ortiz-Servin, JA Castillo, DA Pelta Progress in Nuclear Energy 52 (2), 249-256, 2010 | 17 | 2010 |
| BWR fuel cycle optimization using neural networks JJ Ortiz-Servin, JA Castillo, DA Pelta Nuclear engineering and design 241 (9), 3729-3735, 2011 | 14 | 2011 |
| Methodology for integrated fuel lattice and fuel load optimization using population-based metaheuristics and decision trees JJ Ortiz-Servin, DA Pelta, JM Cadenas, A Castillo, JL Montes-Tadeo Progress in Nuclear Energy 104, 264-270, 2018 | 11 | 2018 |
| A new methodology to optimize operation cycles in a bwr using heuristic techniques JJ Ortiz-Servin, A Castillo, F Talavera Journal of applied research and technology 17 (3), 155-162, 2019 | 7 | 2019 |
| Searching for enrichment and gadolinia distributions in BWR fuel lattices through a Heuristic-Knowledge Method JL Montes-Tadeo, R Perusquía-del-Cueto, C Martín-del-Campo, ... Progress in Nuclear Energy 85, 213-227, 2015 | 7 | 2015 |
David PeltaModels of Decision and Optimization Research Group, Dept. of Comp. Science and A.I., Universidad deDirección de correo verificada de ugr.es
