An Analysis of a Hybrid Evolutionary Algorithm by means of its Phylogenetic Information

LaTorre de la Fuente, Antonio; Muelas Pascual, Santiago y Peña Sanchez, Jose Maria (2010). An Analysis of a Hybrid Evolutionary Algorithm by means of its Phylogenetic Information. En: "World Automation Congress (WAC), 2010", 19/09/2010 - 23/09/2010, Kobe, Japon. ISBN 978-1-4244-9673-0.

Descripción

Título: An Analysis of a Hybrid Evolutionary Algorithm by means of its Phylogenetic Information
Autor/es:
  • LaTorre de la Fuente, Antonio
  • Muelas Pascual, Santiago
  • Peña Sanchez, Jose Maria
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: World Automation Congress (WAC), 2010
Fechas del Evento: 19/09/2010 - 23/09/2010
Lugar del Evento: Kobe, Japon
Título del Libro: Proceedings of the World Automation Congress (WAC), 2010
Fecha: 2010
ISBN: 978-1-4244-9673-0
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Arquitectura y Tecnología de Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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

Más información

ID de Registro: 7738
Identificador DC: http://oa.upm.es/7738/
Identificador OAI: oai:oa.upm.es:7738
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5665606&tag=1
Depositado por: Memoria Investigacion
Depositado el: 24 Jun 2011 09:27
Ultima Modificación: 25 May 2015 13:38
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