Memorias de investigación
Ponencias en congresos:
Migrating Individuals and Probabilistic Models on DEDAS: a Comparison on Continuous Functions
Año:2010
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
One of the most promising areas in which probabilisticgraphical models have shown an incipient activity is thefield of heuristic optimization and, in particular, in the Estimationof Distribution Algorithms (EDAs). EDAs constitutea well-known family of Evolutionary Computationtechniques, similar to Genetic Algorithms. Due to their inherentparallelism, different research lines have been studiedtrying to improve EDAs from the point of view of executiontime and/or accuracy. Among these proposals, wefocus on the so-called island-based models. This approachdefines several islands (EDA instances) running independentlyand exchanging information with a given frequency.The information sent by the islands can be a set of individualsor a probabilistic model. This paper presents a comparativestudy of both information exchanging techniquesfor a univariate EDA (UMDAg) over a wide set of parametersand problems ¿the standard benchmark developed forthe IEEEWorkshop on Evolutionary Algorithms and otherMetaheuristics for Continuous Optimization Problems ofthe ISDA 2009 Conference. The study concludes that theconfigurations based on migrating individuals obtain betterresults.
Internacional
No
Nombre congreso
Proceedings of the Tenth IASTED International Conference on Artificial Intelligence and Applications (2010)
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
978-0-88986-818-2
DOI
Fecha inicio congreso
15/02/2010
Fecha fin congreso
17/02/2010
Desde la página
255
Hasta la página
262
Título de las actas
Migrating Individuals and Probabilistic Models on DEDAS: a Comparison on Continuous Functions
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP