| Design of optimal disturbance rejection PID controllers using genetic algorithms RA Krohling, JP Rey IEEE Transactions on Evolutionary computation 5 (1), 78-82, 2001 | 588 | 2001 |
| Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea RA Krohling, VC Campanharo Expert Systems with applications 38 (4), 4190-4197, 2011 | 468 | 2011 |
| Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems RA Krohling, L dos Santos Coelho IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006 | 374 | 2006 |
| Deep learning for classification and severity estimation of Coffee leaf biotic stress. JGM Esgario, RA Krohling, JA Ventura Computers and Electronics in Agriculture 169 (10516), 2020 | 324 | 2020 |
| Combining prospect theory and fuzzy numbers to multi-criteria decision making RA Krohling, TTM de Souza Expert Systems with Applications 39 (13), 11487-11493, 2012 | 277 | 2012 |
| A-TOPSIS–an approach based on TOPSIS for ranking evolutionary algorithms RA Krohling, AGC Pacheco Procedia Computer Science 55, 308-317, 2015 | 261 | 2015 |
| Gaussian swarm: a novel particle swarm optimization algorithm RA Krohling IEEE Conference on Cybernetics and Intelligent Systems, 2004. 1, 372-376, 2004 | 261 | 2004 |
| PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones AGC Pacheco, GR Lima, AS Salomão, B Krohling, IP Biral, GG de Angelo, ... Data in brief 32, 106221, 2020 | 210 | 2020 |
| The impact of patient clinical information on automated skin cancer detection AGC Pacheco, RA Krohling Computers in Biology and Medicine, 2019 | 209 | 2019 |
| IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making RA Krohling, AGC Pacheco, ALT Siviero Knowledge-Based Systems 53, 142-146, 2013 | 188 | 2013 |
| Robust control systems with genetic algorithms M Jamshidi, RA Krohling, LS Coelho, PJ Fleming CRC Press, 2002 | 175* | 2002 |
| A study of TODIM in a intuitionistic fuzzy and random environment R Lourenzutti, RA Krohling Expert Systems with Applications 40 (16), 6459-6468, 2013 | 174 | 2013 |
| Co-evolutionary particle swarm optimization to solve min-max problems Y Shi, RA Krohling Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 174 | 2002 |
| An attention-based mechanism to combine images and metadata in deep learning models applied to skin cancer classification AGC Pacheco, RA Krohling IEEE Journal of Biomedical and Health Informatics, 1-10, 2021 | 165 | 2021 |
| A generalized TOPSIS method for group decision making with heterogeneous information in a dynamic environment R Lourenzutti, RA Krohling Information Sciences 330, 1-18, 2016 | 165 | 2016 |
| Designing PI/PID controllers for a motion control system based on genetic algorithms RA Krohling, H Jaschek, JP Rey Proceedings of 12th IEEE international symposium on intelligent control, 125-130, 1997 | 155 | 1997 |
| A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images LM Tassis, JE Tozzi de Souza, RA Krohling Computers and Electronics in Agriculture 186 (106191), 2021 | 143 | 2021 |
| Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction R Lourenzutti, RA Krohling, MZ Reformat Information Sciences 408, 41-69, 2017 | 143 | 2017 |
| Bare bones particle swarm optimization with Gaussian or Cauchy jumps RA Krohling, E Mendel 2009 IEEE Congress on Evolutionary Computation, 3285-3291, 2009 | 132 | 2009 |
| The Hellinger distance in Multicriteria Decision Making: An illustration to the TOPSIS and TODIM methods R Lourenzutti, RA Krohling Expert Systems with Applications 41 (9), 4414-4421, 2014 | 131 | 2014 |
Andre G. C. PachecoFederal University of Espírito SantoVerified email at inf.ufes.br