Population structure and particle swarm performance J Kennedy, R Mendes Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 2296 | 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 | 2280 | 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 | 638 | 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 | 425 | 2002 |
Population topologies and their influence in particle swarm performance R Mendes Ph. D. Thesis, Escola de Engenharia, Universidade do Minho, 2004 | 312 | 2004 |
DynDE: a differential evolution for dynamic optimization problems R Mendes, AS Mohais 2005 IEEE congress on evolutionary computation 3, 2808-2815, 2005 | 290 | 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 | 214 | 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, 1-16, 2008 | 130 | 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 | 119 | 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 | 77 | 2014 |
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 | 42 | 2021 |
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 | 40 | 2006 |
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 | 27 | 2019 |
Avoiding the pitfalls of local optima: how topologies can save the day R Mendes, J Kennedy, J Neves Proceedings of the 12th Conference Intelligent Systems Application to Power …, 2003 | 24 | 2003 |
What makes a successful society? experiments with population topologies in particle swarms R Mendes, J Neves Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 2004 | 22 | 2004 |
Multi-step time series prediction intervals using neuroevolution P Cortez, PJ Pereira, R Mendes Neural Computing and Applications 32 (13), 8939-8953, 2020 | 20 | 2020 |
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing LM Matos, J Azevedo, A Matta, A Pilastri, P Cortez, R Mendes Software Impacts 13, 100359, 2022 | 16 | 2022 |
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 | 16 | 2018 |
Stochastic barycenters and beta distribution for gaussian particle swarms R Mendes, J Kennedy Portuguese Conference on Artificial Intelligence, 259-270, 2007 | 15 | 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 |