| Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman Problem VP Soloviev, C Bielza, P Larrañaga 2021 IEEE Congress on Evolutionary Computation (CEC), 416-425, 2021 | 13 | 2021 |
| Quantum Approximate Optimization Algorithm for Bayesian network structure learning VP Soloviev, C Bielza, P Larrañaga Quantum Information Processing 22 (19), 2023 | 8 | 2023 |
| Estimation of distribution algorithms using Gaussian Bayesian networks to solve industrial optimization problems constrained by environment variables VP Soloviev, P Larrañaga, C Bielza Journal of Combinatorial Optimization 44 (2), 1077-1098, 2022 | 5 | 2022 |
| Quantum parametric circuit optimization with estimation of distribution algorithms VP Soloviev, P Larrañaga, C Bielza Proceedings of the genetic and evolutionary computation conference companion …, 2022 | 5 | 2022 |
| Semiparametric estimation of distribution algorithms for continuous optimization VP Soloviev, C Bielza, P Larrañaga IEEE Transactions on Evolutionary Computation, 2023 | 2 | 2023 |
| Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182) JC Uribe, B Doerr, C Witt, VP Soloviev Dagstuhl Reports 12 (5), 2022 | 2 | 2022 |
| Variational Quantum Algorithm Parameter Tuning with Estimation of Distribution Algorithms VP Soloviev, P Larrañaga, C Bielza 2023 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2023 | | 2023 |
| A probabilistic perspective for optimizing the parameters of quantum heuristics using evolutionary algorithms VP Soloviev, P Larranaga, C Bielza | | |
Pedro LarrañagaProfessor of Artificial Intelligence - Universidad Politécnica de MadridDirección de correo verificada de fi.upm.es
