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

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

Description

Title: An Analysis of a Hybrid Evolutionary Algorithm by means of its Phylogenetic Information
Author/s:
  • LaTorre de la Fuente, Antonio
  • Muelas Pascual, Santiago
  • Peña Sanchez, Jose Maria
Item Type: Presentation at Congress or Conference (Article)
Event Title: World Automation Congress (WAC), 2010
Event Dates: 19/09/2010 - 23/09/2010
Event Location: Kobe, Japon
Title of Book: Proceedings of the World Automation Congress (WAC), 2010
Date: 2010
ISBN: 978-1-4244-9673-0
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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

More information

Item ID: 7738
DC Identifier: http://oa.upm.es/7738/
OAI Identifier: oai:oa.upm.es:7738
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5665606&tag=1
Deposited by: Memoria Investigacion
Deposited on: 24 Jun 2011 09:27
Last Modified: 25 May 2015 13:38
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