| A methodology for coffee price forecasting based on extreme learning machines C Deina, MH do Amaral Prates, CHR Alves, MSR Martins, F Trojan, ... Information Processing in Agriculture 9 (4), 556-565, 2022 | 40 | 2022 |
| A hyperheuristic approach based on low-level heuristics for the travelling thief problem M El Yafrani, M Martins, M Wagner, B Ahiod, M Delgado, R Lüders Genetic Programming and Evolvable Machines 19, 121-150, 2018 | 39 | 2018 |
| A fitness landscape analysis of the travelling thief problem ME Yafrani, MSR Martins, ME Krari, M Wagner, MRBS Delgado, B Ahiod, ... Proceedings of the genetic and evolutionary computation conference, 277-284, 2018 | 37 | 2018 |
| HSEDA: a heuristic selection approach based on estimation of distribution algorithm for the travelling thief problem MSR Martins, M El Yafrani, MRBS Delgado, M Wagner, B Ahiod, R Lüders Proceedings of the Genetic and Evolutionary Computation Conference, 361-368, 2017 | 36 | 2017 |
| PSO with path relinking for resource allocation using simulation optimization MSR Martins, SC Fuchs, LU Pando, R Lüders, MR Delgado Computers & Industrial Engineering 65 (2), 322-330, 2013 | 28 | 2013 |
| Toward more efficient heuristic construction of Boolean functions D Jakobovic, S Picek, MSR Martins, M Wagner Applied Soft Computing 107, 107327, 2021 | 25 | 2021 |
| Balancing the influence of evolutionary operators for global optimization D Oliva, E Rodriguez-Esparza, MSR Martins, M Abd Elaziz, S Hinojosa, ... 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 18 | 2020 |
| Combining information from thresholding techniques through an evolutionary Bayesian network algorithm D Oliva, MSR Martins, V Osuna-Enciso, EF de Morais Applied Soft Computing 90, 106147, 2020 | 15 | 2020 |
| Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem MSR Martins, MRBS Delgado, R Lüders, R Santana, RA Gonçalves, ... Journal of Heuristics 24, 25-47, 2018 | 14 | 2018 |
| On the performance of multi-objective estimation of distribution algorithms for combinatorial problems MSR Martins, M El Yafrani, R Santana, M Delgado, R Lüders, B Ahiod 2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018 | 13 | 2018 |
| A characterisation of S-box fitness landscapes in cryptography D Jakobovic, S Picek, MSR Martins, M Wagner Proceedings of the Genetic and Evolutionary Computation Conference, 285-293, 2019 | 12 | 2019 |
| Fitness landscape analysis of dimensionally-aware genetic programming featuring feynman equations M Durasevic, D Jakobovic, M Scoczynski Ribeiro Martins, S Picek, ... Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 11 | 2020 |
| HMOBEDA: Hybrid Multi-objective Bayesian estimation of distribution algorithm MSR Martins, MRBS Delgado, R Santana, R Lüders, RA Gonçalves, ... Proceedings of the Genetic and Evolutionary Computation Conference 2016, 357-364, 2016 | 11 | 2016 |
| Analysis of Bayesian network learning techniques for a hybrid multi-objective Bayesian estimation of distribution algorithm: a case study on MNK landscape MSR Martins, ME Yafrani, M Delgado, R Lüders, R Santana, HV Siqueira, ... Journal of Heuristics 27, 549-573, 2021 | 10 | 2021 |
| A Bayesian based Hyper-Heuristic approach for global optimization D Oliva, MSR Martins 2019 IEEE Congress on Evolutionary Computation (CEC), 1766-1773, 2019 | 10 | 2019 |
| Plants recognition using embedded Convolutional Neural Networks on Mobile devices D Pechebovicz, S Premebida, V Soares, T Camargo, JL Bittencourt, ... 2020 IEEE International Conference on Industrial Technology (ICIT), 674-679, 2020 | 8 | 2020 |
| A selection hyperheuristic guided by Thompson sampling for numerical optimization M Scoczynski, D Oliva, E Rodríguez-Esparza, M Delgado, R Lüders, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 7 | 2021 |
| A methodology for coffee price forecasting based on extreme learning machines. Inf Process Agric C Deina, MH do Amaral Prates, CHR Alves, MSR Martins, F Trojan, ... | 7 | 2021 |
| Detecting a predefined solar spot group with a pretrained convolutional neural network TO Camargo, D Pechebovicz, SM Premebida, VR Soares, V Baroncini, ... 2019 IEEE Colombian Conference on Applications in Computational Intelligence …, 2019 | 7 | 2019 |
| A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization D Oliva, MSR Martins, S Hinojosa, MA Elaziz, PV dos Santos, G da Cruz, ... International Journal of Machine Learning and Cybernetics 13 (12), 3743-3772, 2022 | 6 | 2022 |
Ricardo LüdersProfessor Titular, DAINF/CPGEI, Universidade Tecnológica Federal do ParanáZweryfikowany adres z utfpr.edu.br
