| Population structure and particle swarm performance J Kennedy, R Mendes Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 1987 | 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 | 1950 | 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 | 559 | 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 | 344 | 2002 |
| Population topologies and their influence in particle swarm performance R Mendes PhD Final Dissertation, Departamento de Informática Escola de Engenharia …, 2004 | 283 | 2004 |
| DynDE: a differential evolution for dynamic optimization problems R Mendes, AS Mohais 2005 IEEE congress on evolutionary computation 3, 2808-2815, 2005 | 239 | 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 | 190 | 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 | 114 | 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 | 105 | 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 | 55 | 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 | 36 | 2006 |
| Avoiding the pitfalls of local optima: how topologies can save the day R Mendes, J Kennedy | 23 | 2003 |
| What Makes A Successful Society? R Mendes, J Neves Brazilian Symposium on Artificial Intelligence, 346-355, 2004 | 22 | 2004 |
| Stochastic barycenters and beta distribution for gaussian particle swarms R Mendes, J Kennedy Portuguese Conference on Artificial Intelligence, 259-270, 2007 | 11 | 2007 |
| 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 |
| Differential evolution for the offline and online optimization of fed-batch fermentation processes R Mendes, I Rocha, JP Pinto, EC Ferreira, M Rocha Advances in Differential Evolution, 299-317, 2008 | 6 | 2008 |
| Progress in Artificial Intelligence: 13th Portuguese Conference on Artificial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA … JM Neves, MF Santos, JM Machado Springer, 2007 | 5 | 2007 |
| Sitting guests at a wedding party: Experiments on genetic and evolutionary constrained optimization M Rocha, R Mendes, P Cortez, J Neves Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No …, 2001 | 5 | 2001 |
| Multi-step time series prediction intervals using neuroevolution P Cortez, PJ Pereira, R Mendes Neural Computing and Applications, 1-15, 2019 | 4 | 2019 |
