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ORCIDVicente P. Soloviev
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2020 – today
- 2024
[j4]Vicente P. Soloviev
, Pedro Larrañaga, Concha Bielza:
EDAspy: An extensible python package for estimation of distribution algorithms. Neurocomputing 598: 128043 (2024)- [j3]Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga:
Semiparametric Estimation of Distribution Algorithms for Continuous Optimization. IEEE Trans. Evol. Comput. 28(4): 1069-1083 (2024) - 2023
- [j2]Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga:
Quantum approximate optimization algorithm for Bayesian network structure learning. Quantum Inf. Process. 22(1): 19 (2023) - [c3]Vicente P. Soloviev, Pedro Larrañaga, Concha Bielza:
Variational Quantum Algorithm Parameter Tuning with Estimation of Distribution Algorithms. CEC 2023: 1-9 - 2022
- [j1]Vicente P. Soloviev, Pedro Larrañaga, Concha Bielza:
Estimation of distribution algorithms using Gaussian Bayesian networks to solve industrial optimization problems constrained by environment variables. J. Comb. Optim. 44(2): 1077-1098 (2022) - [c2]Vicente P. Soloviev, Pedro Larrañaga, Concha Bielza:
Quantum parametric circuit optimization with estimation of distribution algorithms. GECCO Companion 2022: 2247-2250 - [i2]Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga:
Quantum Approximate Optimization Algorithm for Bayesian network structure learning. CoRR abs/2203.02400 (2022) - [i1]Josu Ceberio Uribe, Benjamin Doerr, Carsten Witt, Vicente P. Soloviev:
Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182). Dagstuhl Reports 12(5): 17-36 (2022) - 2021
- [c1]Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga:
Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman Problem. CEC 2021: 416-425
Coauthor Index
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