Artificial Bee Colony Algorithm Improved with Evolutionary Operators

In this paper, we design, implement, and analysis the replacement of the method to create new solutions in artificial bee colony algorithm by recombination operators, since the original method is similar to the recombination process used in evolutionary algorithms. For that purpose, we present a sy...

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Detalles Bibliográficos
Autores principales: Minetti, Gabriela F., Salto, Carolina
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
ABC algorithm
parameter tuning
recombination
configuración paramétrica
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/70115
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-70115
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
ABC algorithm
parameter tuning
recombination
configuración paramétrica
spellingShingle Ciencias Informáticas
ABC algorithm
parameter tuning
recombination
configuración paramétrica
Minetti, Gabriela F.
Salto, Carolina
Artificial Bee Colony Algorithm Improved with Evolutionary Operators
topic_facet Ciencias Informáticas
ABC algorithm
parameter tuning
recombination
configuración paramétrica
description In this paper, we design, implement, and analysis the replacement of the method to create new solutions in artificial bee colony algorithm by recombination operators, since the original method is similar to the recombination process used in evolutionary algorithms. For that purpose, we present a systematic investigation of the effect of using six different recombination operators for real-coded representations at the employed bee step. All the analysis is carried out using well known test problems. The experimental results suggest that the method to generate a new candidate food position plays an important role in the performance of the algorithm. Computational results and comparisons show that three of the six proposed algorithms are very competitive with the traditional bee colony algorithm.
format Articulo
Articulo
author Minetti, Gabriela F.
Salto, Carolina
author_facet Minetti, Gabriela F.
Salto, Carolina
author_sort Minetti, Gabriela F.
title Artificial Bee Colony Algorithm Improved with Evolutionary Operators
title_short Artificial Bee Colony Algorithm Improved with Evolutionary Operators
title_full Artificial Bee Colony Algorithm Improved with Evolutionary Operators
title_fullStr Artificial Bee Colony Algorithm Improved with Evolutionary Operators
title_full_unstemmed Artificial Bee Colony Algorithm Improved with Evolutionary Operators
title_sort artificial bee colony algorithm improved with evolutionary operators
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/70115
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