Browsing Informes técnicos y Documentos de trabajo by Author "Santana, Roberto"
Now showing items 1-7 of 7
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A detailed investigation of classification methods for vowel speech imagery recognition
Accurate and fast decoding of speech imagery from electroencephalographic (EEG) data could serve as a basis for a new generation of brain computer interfaces (BCIs), more portable and easier to use. However, decoding of ... -
A quantitative analysis of estimation of distribution algorithms based on Bayesian networks
Echegoyen Arruti, Carlos; Mendiburu Alberro, Alexander; Santana Hermida, Roberto ; Lozano Alonso, José Antonio (2009)The successful application of estimation of distribution algorithms (EDAs) to solve different kinds of problems has reinforced their candidature as promising black-box optimization tools. However, their internal behavior is ... -
Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms
Echegoyen Arruti, Carlos; Zhang, Qingfu; Mendiburu Alberro, Alexander; Santana Hermida, Roberto ; Lozano Alonso, José Antonio (2011)Conducting research in order to know the range of problems in which a search algorithm is effective constitutes a fundamental issue to understand the algorithm and to continue the development of new techniques. In this ... -
MATEDA: A suite of EDA programs in Matlab
Santana Hermida, Roberto ; Echegoyen Arruti, Carlos; Mendiburu Alberro, Alexander; Bielza, Concha; Lozano Alonso, José Antonio; Larrañaga Múgica, Pedro; Armañanzas Arnedillo, Rubén; Shakya, Siddartha (2009)This paper describes MATEDA-2.0, a suite of programs in Matlab for estimation of distribution algorithms. The package allows the optimization of single and multi-objective problems with estimation of distribution algorithms ... -
New methods for generating populations in Markov network based EDAs: Decimation strategies and model-based template recombination
Methods for generating a new population are a fundamental component of estimation of distribution algorithms (EDAs). They serve to transfer the information contained in the probabilistic model to the new generated population. ... -
On the application of estimation of distribution algorithms to multi-marker tagging SNP selection
Santana Hermida, Roberto ; Mendiburu Alberro, Alexander; Zaitlen, Noah; Eskin, Eleazar; Lozano Alonso, José Antonio (2009)This paper presents an algorithm for the automatic selection of a minimal subset of tagging single nucleotide polymorphisms (SNPs) using an estimation of distribution algorithm (EDA). The EDA stochastically searches the ... -
Using network mesures to test evolved NK-landscapes
In this paper we empirically investigate which are the structural characteristics that can help to predict the complexity of NK-landscape instances for estimation of distribution algorithms. To this end, we evolve instances ...