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Memorias de investigación
Artículos en revistas:
Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables
Año:2010
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
The optimal table row and column ordering can reveal useful patterns to improve reading and interpretation. Recently, genetic algorithms using standard crossover and mutation operators have been proposed to tackle this problem. In this paper, we carry out an experimental study that adds to this genetic algorithm crossover and mutation operators specially designed to deal with permutations and includes other parameters (initialization, replacement policy, mutation and crossover rates and stopping criteria) not examined in previous works. A proper analysis of the results must take into account all the parameters simultaneously, since the wrong conclusions can be drawn by studying each separately from the others. This is why we propose a framework for a multidimensional analysis of the results. This includes multiple hypothesis testing and a regression tree that builds a parsimonious and predictive model of the suitable configurations of the parameters.
Internacional
Si
JCR del ISI
Si
Título de la revista
EXPERT SYSTEMS WITH APPLICATIONS
ISSN
0957-4174
Factor de impacto JCR
2,908
Información de impacto
Volumen
37
DOI
10.1016/j.eswa.2009.05.088
Número de revista
1
Desde la página
804
Hasta la página
815
Mes
ENERO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Participante: E. Bengoetxea (Universidad del País Vasco)
  • Autor: Juan Antonio Fdez del Pozo De Salamanca (UPM)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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