| On the use of fitness landscape features in meta-learning based algorithm selection for the quadratic assignment problem A Dantas, A Pozo Theoretical Computer Science 805, 62-75, 2020 | 22 | 2020 |
| A meta-learning algorithm selection approach for the quadratic assignment problem AL Dantas, ATR Pozo 2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018 | 17 | 2018 |
| Using deep Q-network for selection hyper-heuristics A Dantas, AF Rego, A Pozo Proceedings of the genetic and evolutionary computation conference companion …, 2021 | 9 | 2021 |
| Selecting algorithms for the quadratic assignment problem with a multi-label meta-learning approach AL Dantas, ATR Pozo 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 175-180, 2018 | 4 | 2018 |
| Online Selection of Heuristic Operators with Deep Q-Network: A Study on the HyFlex Framework A Dantas, A Pozo Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event …, 2021 | 2 | 2021 |
| The impact of state representation on approximate Q-learning for a selection hyper-heuristic A Dantas, A Pozo Brazilian Conference on Intelligent Systems, 45-60, 2022 | 1 | 2022 |
| Multi Populational NeuroEvolution of Augmenting Topologies for the EvoMan Framework A Dantas, A Pozo | | |
| The Effect of the Heuristic Information on a Hybrid MAX− MIN Ant System for the Quadratic Assignment Problem AL Dantas, ATR Pozo | | |
Aurora Trinidad Ramirez PozoProfessor de Ciencias de Computacao, Universidade Federal do ParanaVerified email at inf.ufpr.br
