| Population structure and particle swarm performance J Kennedy, R Mendes Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 2144 | 2002 |
| The fully informed particle swarm: simpler, maybe better R Mendes, J Kennedy, J Neves IEEE transactions on evolutionary computation 8 (3), 204-210, 2004 | 2094 | 2004 |
| Neighborhood topologies in fully informed and best-of-neighborhood particle swarms J Kennedy, R Mendes IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2006 | 602 | 2006 |
| Particle swarms for feedforward neural network training R Mendes, P Cortez, M Rocha, J Neves Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 391 | 2002 |
| Population topologies and their influence in particle swarm performance R Mendes PhD thesis, Departamento de Informatica, Escola de Engenharia, Universidade …, 2004 | 297 | 2004 |
| DynDE: a differential evolution for dynamic optimization problems R Mendes, AS Mohais 2005 IEEE congress on evolutionary computation 3, 2808-2815, 2005 | 267 | 2005 |
| Watch thy neighbor or how the swarm can learn from its environment R Mendes, J Kennedy, J Neves Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No …, 2003 | 209 | 2003 |
| Natural computation meta-heuristics for the in silico optimization of microbial strains M Rocha, P Maia, R Mendes, JP Pinto, EC Ferreira, J Nielsen, KR Patil, ... BMC bioinformatics 9 (1), 1-16, 2008 | 125 | 2008 |
| Neighborhood re-structuring in particle swarm optimization AS Mohais, R Mendes, C Ward, C Posthoff Australasian Joint Conference on Artificial Intelligence, 776-785, 2005 | 113 | 2005 |
| Optimization of fed-batch fermentation processes with bio-inspired algorithms M Rocha, R Mendes, O Rocha, I Rocha, EC Ferreira Expert Systems with Applications 41 (5), 2186-2195, 2014 | 65 | 2014 |
| A comparison of algorithms for the optimization of fermentation processes R Mendes, I Rocha, EC Ferreira, M Rocha 2006 IEEE International Conference on Evolutionary Computation, 2018-2025, 2006 | 37 | 2006 |
| Avoiding the pitfalls of local optima: how topologies can save the day R Mendes, J Kennedy | 22 | 2003 |
| What Makes A Successful Society? R Mendes, J Neves Brazilian Symposium on Artificial Intelligence, 346-355, 2004 | 21 | 2004 |
| Using deep learning for mobile marketing user conversion prediction LM Matos, P Cortez, R Mendes, A Moreau 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 14 | 2019 |
| Stochastic barycenters and beta distribution for gaussian particle swarms R Mendes, J Kennedy Portuguese Conference on Artificial Intelligence, 259-270, 2007 | 12 | 2007 |
| Multi-objective grammatical evolution of decision trees for mobile marketing user conversion prediction PJ Pereira, P Cortez, R Mendes Expert Systems with Applications 168, 114287, 2021 | 11 | 2021 |
| Multi-step time series prediction intervals using neuroevolution P Cortez, PJ Pereira, R Mendes Neural Computing and Applications 32 (13), 8939-8953, 2020 | 11 | 2020 |
| A comparison of data-driven approaches for mobile marketing user conversion prediction LM Matos, P Cortez, R Mendes, A Moreau 2018 International Conference on Intelligent Systems (IS), 140-146, 2018 | 11 | 2018 |
| A platform for the selection of genes in DNA microarraydata using evolutionary algorithms M Rocha, R Mendes, P Maia, D Glez-Peña, F Fdez-Riverola Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 11 | 2007 |
| Genetic algorithms, classifiers and parallelism–an object-oriented approach R Mendes, J Neves Moving Toward Expert Systems Globally in the 21st Century, Proceedings of …, 1993 | 7 | 1993 |
Jose Carlos Ferreira Maia NevesProfessor of Computer Science, The University of MinhoEmail confirmado em di.uminho.pt
