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Estimation of distribution algorithm

Known as: EDA, Estimation of Distribution Algorithms, PMBGA 
Estimation of distribution algorithms (EDAs), sometimes called probabilistic model-building genetic algorithms (PMBGAs), are stochastic optimization… 
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Papers overview

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2010
2010
The thesis deals with the new evolutionary paradigm based on the concept of Estimation of Distribution Algorithms (EDAs) that use… 
2010
2010
Using aspects of model checking to analyse multi- threaded software is a promising method for finding common concurrent errors… 
2010
2010
This paper shows how the extended compact genetic algorithm can be scaled using data-intensive computing techniques such as… 
2010
2010
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the… 
2009
2009
We develop a new Bayesian approach to estimate the parameters of a latent-class model for the joint clustering of both modes of… 
2009
2009
This paper investigates the difficulty of linkage learning, an essential core, in EDAs. Specifically, it examines allelicpairwise… 
2008
2008
Estimation of distribution algorithms (EDAs) are evolutionary methods that use probabilistic models instead of genetic operators… 
2007
2007
We describe two new sampling strategies for Rao-Blackwellized particle filtering SLAM. The strategies, called fixed-lag… 
2006
2006
In this work we address the parallelization of the kind of Evolutionary Algorithms (EAs) known as Estimation of Distribution… 
Highly Cited
2001
Highly Cited
2001
We consider the problem of estimating the directions of arrival (DOA) of multiple sources in the presence of local scattering…