A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation

The use of Local Search technique in combination with other methods is often an effective way for increasing the e ciency of a global optimization algorithm. In this paper we present an hybrid version that integrates Di erential Evolution with Local Search, applying the Quadratic Interpolation formu...

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Detalles Bibliográficos
Autores principales: Tardivo, María Laura, Cagnina, Leticia, Leguizamón, Guillermo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Intelligent agents
Optimization
Heuristic methods
Differential Evolution
Local Search
Quadratic Interpolation
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23600
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23600
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Intelligent agents
Optimization
Heuristic methods
Differential Evolution
Local Search
Quadratic Interpolation
spellingShingle Ciencias Informáticas
Intelligent agents
Optimization
Heuristic methods
Differential Evolution
Local Search
Quadratic Interpolation
Tardivo, María Laura
Cagnina, Leticia
Leguizamón, Guillermo
A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
topic_facet Ciencias Informáticas
Intelligent agents
Optimization
Heuristic methods
Differential Evolution
Local Search
Quadratic Interpolation
description The use of Local Search technique in combination with other methods is often an effective way for increasing the e ciency of a global optimization algorithm. In this paper we present an hybrid version that integrates Di erential Evolution with Local Search, applying the Quadratic Interpolation formula for determining the neighborhood in which to explore towards better solutions. We present DE+LS(1) in which the closer neighborhood to the best population individual is explored, and DE+LS(2) in which the neigh- borhood of the two best population individuals is examined. The results showed that with DE+LS(2) improvements are not signi cant, but using DE+LS(1) an improvement is achieved, especially for large dimensions, in terms of solutions quality and speed of convergence.
format Objeto de conferencia
Objeto de conferencia
author Tardivo, María Laura
Cagnina, Leticia
Leguizamón, Guillermo
author_facet Tardivo, María Laura
Cagnina, Leticia
Leguizamón, Guillermo
author_sort Tardivo, María Laura
title A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_short A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_full A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_fullStr A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_full_unstemmed A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_sort hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/23600
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