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Memorias de investigación
Communications at congresses:
On the evaluation of information exchange strategies in dEDAs
Year:2010
Research Areas
  • Artificial intelligence
Information
Abstract
One of the most promising areas in which probabilistic graphical models have shown an incipient activity is the field of heuristic optimization and, in particular, in the Estimation of Distribution Algorithms (EDAs). EDAs constitute a well-known family of Evolutionary Computation techniques, similar to Genetic Algorithms. Due to their inherent parallelism, different research lines have tried to improve EDAs from the point of view of execution time and/or accuracy. Among these proposals, we focus on the so-called island-based models. This approach defines several islands (EDA instances) running independently and exchanging information with a given frequency. The information sent by the islands can be a set of individuals or a probabilistic model. This paper presents a comparative study of both information exchanging techniques for a univariate EDA ($UMDA_g$) over a wide set of parameters and problems --the standard benchmark developed for the IEEE Workshop on Evolutionary Algorithms and other Metaheuristics for Continuous Optimization Problems of the ISDA 2009 Conference
International
No
Congress
VII Congreso Español sobre Metaheurísticas Algoritmos Evolutivos y Bioinspirados MAEB10 (2010)
960
Place
Reviewers
Si
ISBN/ISSN
978-84-92812-58-5
Start Date
07/09/2010
End Date
10/09/2010
From page
212
To page
219
On the evaluation of information exchange strategies in dEDAs
Participants
  • Autor: Santiago Muelas Pascual (UPM)
  • Autor: Antonio Latorre De la Fuente (UPM)
  • Autor: Jose Maria Peña Sanchez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
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