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Ponencia
Generation of Management Rules through System Dynamics and Evolutionary Computation
(Springer, 2002)
Decision making has been traditionally based on a managers experience. This paper, however, discusses how a software project simulator based on System Dynamics and Evolutionary Computation can be combined to obtain ...
Ponencia
Best Agglomerative Ranked Subset for Feature Selection
(2008-09)
The enormous increase of the size in databases makes finding an optimal subset of features extremely difficult. In this paper, a new feature selection method is proposed that will allow any subset evaluator -including the ...
Artículo
Knowledge-Based Fast Evaluation for Evolutionary Learning
(IEEE, 2005)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data mining methods, especially those which consume great computational resources, such as evolutionary ...
Ponencia
Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms
(Springer, 2006)
In recent years, the interest in extracting useful knowledge from gene expression data has experimented an enormous increase with the development of microarray technique. Biclustering is a recent technique that aims at ...
Capítulo de Libro
Efficient Incremental-Ranked Feature Selection in Massive Data
(Chapman and Hall/CRC, 2007)
Ponencia
Biclusters Evaluation Based on Shifting and Scaling Patterns
(Springer, 2007)
Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological point of view. Biclustering algorithms obtain a set of genes with the same behaviour over a group of ...
Ponencia
Spade: Algoritmo Evolutivo para Descubrir Patrones de Desplazamiento en Microarrays
(2007)
El interés por extraer conocimiento útil de datos de expresión genómica ha experimentado un enorme auge en los últimos años con el desarrollo de los microarrays. Las técnicas de biclustering son aplicadas para obtener ...
Ponencia
Evolutionary Search of Biclusters by Minimal Intrafluctuation
(IEEE Computer Society, 2007)
Biclustering techniques aim at extracting significant subsets of genes and conditions from microarray gene expression data. This kind of algorithms is mainly based on two key aspects: the way in which they deal with ...
Ponencia
Improving the Evolutionary Coding for Machine Learning Tasks
(IOS Press, 2002)
The most influential factors in the quality of the solutions found by an evolutionary algorithm are a correct coding of the search space and an appropriate evaluation function of the potential solutions. The coding of ...
Artículo
An evolutionary approach to estimating software development projects
(Elsevier, 2001)
The use of dynamic models and simulation environments in connection with software projects paved the way for tools that allow us to simulate the behaviour of the projects. The main advantage of a Software Project Simulator ...