ListarDIAN-Artículos, capítulos... por tema "Evolutionary algorithms"
Mostrando ítems 1-9 de 9
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A two-stage algorithm in evolutionary product unit neural networks for classification
(Elsevier, 2011)This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter settings, evolving them for a small number of ... -
Algoritmos Evolutivos para Descubrimiento de Reglas de Predicción en la Mejora de Sistemas Educativos Adaptativos basados en Web
(Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2005)Este artículo muestra la utilización de los algoritmos evolutivos para el descubrimiento de reglas de predicción que se utilizarán en la mejora de Cursos Hipermedia Adaptativos basados en Web. Se ha desarrollado una ... -
An approach for the evolutionary discovery of software architectures
(Elsevier, 2015)Software architectures constitute important analysis artefacts in software projects, as they reflect the main functional blocks of the software. They provide high-level analysis artefacts that are useful when architects ... -
An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks
(Springer, 2016)This chapter considers a recent algorithm to add broader diversity at the beginning of the evolutionary process and extends it to sigmoidal neural networks. A simultaneous evolution of architectures and weights is performed ... -
A Classification Module for Genetic Programming Algorithms in JCLEC
(MIT Press, 2014)JCLEC-Classi cation is a usable and extensible open source library for genetic program- ming classi cation algorithms. It houses implementations of rule-based methods for clas- si cation based on genetic programming, ... -
Comparing Evolutionary Algorithms and Particle Filters for Markerless Human Motion Capture
(Elsevier, 2014)Markerless Human Motion Capture is the problem of determining the joints’ angles of a three-dimensional articulated body model that best matches current and past observations acquired by video cameras. The problem of ... -
Instance selection for multi-label learning based on a scalable evolutionary algorithm
(IEEE, 2021)Multi-label classification has recently attracted greater research interest as a data mining task. Many current ap- plications in data mining address problems having instances that belong to more than one class, which ... -
JCLEC Meets WEKA!
(2014-02-27)WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms. An evolutionary computation framework ... -
SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features
(Elsevier, 2021)Data reduction is becoming increasingly relevant due to the enormous amounts of data that are constantly being produced in many fields of research. Instance selection is one of the most widely used methods for this task. ...