Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
An Analysis of a Hybrid Evolutionary Algorithm by means of its Phylogenetic Information
Año:2010
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
The study conducted in this work analyses the interactions between different Evolutionary Algorithms when they are hybridized. For this purpose, the phylogenetic tree of the best solution reported by the hybrid algorithm is reconstructed, and the relationships among the ancestors of this solution are established. For each of these ancestors, the evolutionary techniques that generated that solution and the fitness increment introduced compared to its parents are recorded. The study reveals a structured interaction among the different evolutionary techniques that makes the hybrid algorithm to outperform each of its composing algorithms when executed individually. The Multiple Offspring Sampling framework has been used to develop the Hybrid EA studied in this work and the experiments have been conducted on the well-known CEC 2005 Benchmark for continuous optimization.
Internacional
No
Nombre congreso
World Automation Congress (WAC)
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
978-1-4244-9673-0
DOI
Fecha inicio congreso
19/09/2010
Fecha fin congreso
23/09/2010
Desde la página
1
Hasta la página
6
Título de las actas
An analysis of a hybrid evolutionary algorithm by means of its phylogenetic information
Esta actividad pertenece a memorias de investigación
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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