David
Fernández Barrero
Profesor/a Titular Universidad
Universidad Autónoma de Madrid
Madrid, EspañaPublicacions en col·laboració amb investigadors/es de Universidad Autónoma de Madrid (22)
2017
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Improving experimental methods on success rates in evolutionary computation
Journal of Experimental and Theoretical Artificial Intelligence, Vol. 29, Núm. 4, pp. 695-716
2015
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A study on Koza’s performance measures
Genetic Programming and Evolvable Machines, Vol. 16, Núm. 3, pp. 327-349
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Acquisition of business intelligence from human experience in route planning
Enterprise Information Systems, Vol. 9, Núm. 3, pp. 303-323
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On the statistical distribution of the expected run-time in population-based search algorithms
Soft Computing, Vol. 19, Núm. 10, pp. 2717-2734
2014
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A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm
Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
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A genetic graph-based approach for partitional clustering
International Journal of Neural Systems, Vol. 24, Núm. 3
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A genetic tango attack against the David-Prasad RFID ultra-lightweight authentication protocol
Expert Systems, Vol. 31, Núm. 1, pp. 9-19
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Analyzing the digital divide and electronic government demand: An empirical research of the Spanish case
Measuring E-government Efficiency: The Opinions of Public Administrators and Other Stakeholders (Springer New York), pp. 213-232
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Analyzing the digital divide and electronic government demand: An empirical research of the spanish case
Public Administration and Information Technology (Springer), pp. 213-232
2013
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A multi-objective genetic graph-based clustering algorithm with memory optimization
2013 IEEE Congress on Evolutionary Computation, CEC 2013
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Effects of the lack of selective pressure on the expected run-time distribution in genetic programming
2013 IEEE Congress on Evolutionary Computation, CEC 2013
2012
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Adapting Searchy to extract data using evolved wrappers
Expert Systems with Applications, Vol. 39, Núm. 3, pp. 3061-3070
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Clustering avatars behaviours from Virtual Worlds interactions
ACM International Conference Proceeding Series
2011
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An empirical study on the accuracy of computational effort in Genetic Programming
2011 IEEE Congress of Evolutionary Computation, CEC 2011
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Human drivers knowledge integration in a logistics decision support tool
Studies in Computational Intelligence, Vol. 382, pp. 227-236
2010
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A Decision Support System for Logistics Operations
Advances in Intelligent and Soft Computing
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A case study on grammatical-based representation for regular expression evolution
Advances in Intelligent Systems and Computing
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Confidence intervals of success rates in evolutionary computation
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
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Distributed parameter tuning for genetic algorithms
Computer Science and Information Systems, Vol. 7, Núm. 3, pp. 661-677
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Variable length-based genetic representation to automatically evolve wrappers
Advances in Intelligent Systems and Computing