SEVERINO
FERNANDEZ GALAN
Profesor Titular Universidad
Publications (22) SEVERINO FERNANDEZ GALAN publications View referenced research data.
2023
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Minimum modulus visualization of algebraic fractals
Journal of Computer Languages, Vol. 76
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Self-adaptive polynomial mutation in NSGA-II
Soft Computing, Vol. 27, Núm. 23, pp. 17711-17727
2021
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Comparative Evaluation of the Fast Marching Method and the Fast Evacuation Method for Heterogeneous Media
Applied Artificial Intelligence, Vol. 35, Núm. 13, pp. 1056-1080
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Extending cellular evolutionary algorithms with message passing
Soft Computing, Vol. 25, Núm. 8, pp. 6271-6282
2020
2019
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Comparative evaluation of region query strategies for DBSCAN clustering
Information Sciences, Vol. 502, pp. 76-90
2018
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Neighborhood beautification: Graph layout through message passing
Journal of Visual Languages and Computing, Vol. 44, pp. 72-88
2017
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Simple decentralized graph coloring
Computational Optimization and Applications, Vol. 66, Núm. 1, pp. 163-185
2014
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Adaptive generalized crowding for genetic algorithms
Information Sciences, Vol. 258, pp. 140-159
2013
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A novel mating approach for genetic algorithms
Evolutionary Computation, Vol. 21, Núm. 2, pp. 197-229
2010
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Generalized crowding for genetic algorithms
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
2009
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Constraint handling using tournament selection: Abductive inference in partly deterministic bayesian networks
Evolutionary Computation, Vol. 17, Núm. 1, pp. 55-88
2008
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Belief updating in Bayesian networks by using a criterion of minimum time
Pattern Recognition Letters, Vol. 29, Núm. 4, pp. 465-482
2007
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Comparison of two types of event Bayesian networks: A case study
Applied Artificial Intelligence, Vol. 21, Núm. 3, pp. 185-209
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Incorporating organizational factors into probabilistic safety assessment of nuclear power plants through canonical probabilistic models
Reliability Engineering and System Safety, Vol. 92, Núm. 8, pp. 1131-1138
2004
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Comparative evaluation of temporal nodes Bayesian networks and networks of probabilistic events in discrete time
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2003
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Efficient computation for the noisy MAX
International Journal of Intelligent Systems, Vol. 18, Núm. 2, pp. 165-177
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Problemas inteligencia artificial
Pearson Educación
2002
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NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time
Artificial Intelligence in Medicine, Vol. 25, Núm. 3, pp. 247-264