Search
Now showing items 21-30 of 39
A review on Estimation of Distribution Algorithms in Permutation-based Combinatorial Optimization Problems
(2011)
Estimation of Distribution Algorithms (EDAs) are a set of algorithms
that belong to the field of Evolutionary Computation. Characterized by the use of
probabilistic models to represent the solutions and the dependencies ...
On demand translation for querying incompletely aligned datasets
(2014-12-01)
More and more users aim at taking advantage of the existing Linked Open Data environment to formulate a query over a dataset and to then try to process the same query over different datasets, one after another, in order ...
A methodology for the semiautomatic annotation of EPEC-RolSem, a basque corpus labeled at predicative level following the PropBank-Verb Net model
(2013)
In this article we describe the methodology developed for the semiautomatic annotation of EPEC-RolSem, a Basque corpus labeled at predicate level following the PropBank-VerbNet model. The methodology presented is the product ...
PIM-SM extension for Source-Specific Multicast through non multicast networks
(2015-10-08)
Deployment of multicast in the open Internet is stagnated, mainly as a result of service provider policies and network limitations. To skip the lack of multicast connectivity between receivers and networks that carry traffic ...
New methods for generating populations in Markov network based EDAs: Decimation strategies and model-based template recombination
(2012-12-27)
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. ...
Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms
(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 ...
A detailed investigation of classification methods for vowel speech imagery recognition
(2013-12-18)
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 ...
MATEDA: A suite of EDA programs in Matlab
(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 ...
A quantitative analysis of estimation of distribution algorithms based on Bayesian networks
(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 ...
On the application of estimation of distribution algorithms to multi-marker tagging SNP selection
(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 ...