Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
A MOS-based Dynamic Memetic Differential Evolution Algorithm for Continuous Optimization: A Scalability Test
Año:2010
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Continuous optimization is one of the areas with more activity in the eld of Heuristic Optimiza- tion. Many algorithms have been proposed and com- pared on several Benchmarks of Functions, with di er- ent performance depending on the problems. For this reason, the combination of di erent search strategies seems desirable to obtain the best performance of each of these approaches. This contribution explores the use of a hybrid memetic algorithm based on the Multi- ple O spring (MOS) framework. The proposed algo- rithm combines the explorative/exploitative strength of two heuristic search methods, that separately ob- tain very competitive results. This algorithm has been tested with the benchmark problems and conditions de- ned for the special issue of the Soft Computing Jour- nal on Scalability of Evolutionary Algorithms and other Metaheuristics for Large Scale Continuous Optimiza- tion Problems. The proposed algorithm obtained the best results compared with both its composing algo- rithms and a set of reference algorithms that were pro- posed for the special issue.
Internacional
Si
JCR del ISI
Si
Título de la revista
SOFT COMPUTING
ISSN
1432-7643
Factor de impacto JCR
1,328
Información de impacto
Volumen
DOI
10.1007/s00500-010-0646-3
Número de revista
Desde la página
1
Hasta la página
13
Mes
ENERO
Ranking
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Participantes
  • Autor: Antonio Latorre De la Fuente (UPM)
  • Autor: Santiago Muelas Pascual (UPM)
  • Autor: Jose Maria Peña Sanchez (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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