Time and individual duration in genetic programming FF de Vega, G Olague, D Lanza, W Banzhaf, E Goodman, ... IEEE Access 8, 38692-38713, 2020 | 16 | 2020 |
ECJ+ HADOOP: an easy way to deploy massive runs of evolutionary algorithms F Chávez, F Fernández, C Benavides, D Lanza, J Villegas, L Trujillo, ... Applications of Evolutionary Computation: 19th European Conference …, 2016 | 11 | 2016 |
Scale out databases for CERN use cases Z Baranowski, M Grzybek, L Canali, DL Garcia, K Surdy Journal of physics: Conference series 664 (4), 042002, 2015 | 9 | 2015 |
It is time for new perspectives on how to fight bloat in GP FF de Vega, G Olague, F Chávez, D Lanza, W Banzhaf, E Goodman Genetic Programming Theory and Practice XVII, 25-38, 2020 | 6 | 2020 |
Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition F Chávez, F Fernández de Vega, D Lanza, C Benavides, J Villegas, ... The International Journal of High Performance Computing Applications 32 (5 …, 2018 | 4 | 2018 |
Profiting from several recommendation algorithms using a scalable approach D Lanza, F Chávez, F Fernandez, M Garcia-Valdez, L Trujillo, G Olague NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop …, 2017 | 4 | 2017 |
It is Time for New Perspectives on How to Fight Bloat in GP F Fernández de Vega, G Olague, F Chávez, D Lanza, W Banzhaf, ... arXiv e-prints, arXiv: 2005.00603, 2020 | | 2020 |
submitter: Profiting from Several Recommendation Algorithms Using a Scalable Approach D Lanza, F Fernandez, F Chávez, L Trujillo, M Garcia-Valdez, G Olague | | 2017 |