Comparison of the Asynchronous Differential Evolution and JADE Minimization Algorithms

Differential Evolution (DE) is an efficient evolutionary algorithm to solve global optimization problems. In this work we compare performance of the recently proposed Asynchronous Differential Evolution with Adaptive Correlation Matrix (ADEACM) to the widely used JADE algorithm, a DE variant with ad...

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Main Author: Zhabitsky Mikhail
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/201610802048
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spelling doaj-5ab6a2edcb304753aedae29cc1685cf02021-08-02T12:18:40ZengEDP SciencesEPJ Web of Conferences2100-014X2016-01-011080204810.1051/epjconf/201610802048epjconf_mmcp2016_02048Comparison of the Asynchronous Differential Evolution and JADE Minimization AlgorithmsZhabitsky MikhailDifferential Evolution (DE) is an efficient evolutionary algorithm to solve global optimization problems. In this work we compare performance of the recently proposed Asynchronous Differential Evolution with Adaptive Correlation Matrix (ADEACM) to the widely used JADE algorithm, a DE variant with adaptive control parameters.http://dx.doi.org/10.1051/epjconf/201610802048
collection DOAJ
language English
format Article
sources DOAJ
author Zhabitsky Mikhail
spellingShingle Zhabitsky Mikhail
Comparison of the Asynchronous Differential Evolution and JADE Minimization Algorithms
EPJ Web of Conferences
author_facet Zhabitsky Mikhail
author_sort Zhabitsky Mikhail
title Comparison of the Asynchronous Differential Evolution and JADE Minimization Algorithms
title_short Comparison of the Asynchronous Differential Evolution and JADE Minimization Algorithms
title_full Comparison of the Asynchronous Differential Evolution and JADE Minimization Algorithms
title_fullStr Comparison of the Asynchronous Differential Evolution and JADE Minimization Algorithms
title_full_unstemmed Comparison of the Asynchronous Differential Evolution and JADE Minimization Algorithms
title_sort comparison of the asynchronous differential evolution and jade minimization algorithms
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2016-01-01
description Differential Evolution (DE) is an efficient evolutionary algorithm to solve global optimization problems. In this work we compare performance of the recently proposed Asynchronous Differential Evolution with Adaptive Correlation Matrix (ADEACM) to the widely used JADE algorithm, a DE variant with adaptive control parameters.
url http://dx.doi.org/10.1051/epjconf/201610802048
work_keys_str_mv AT zhabitskymikhail comparisonoftheasynchronousdifferentialevolutionandjademinimizationalgorithms
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