Clustering Analysis of the Population in Db_SHADE Algorithm

This paper provides an analysis of the population clustering in a novel Success-History based Adaptive Differential Evolution algorithm with Distance based adaptation (Db_SHADE) in order to analyze the exploration and exploitation abilities of the algorithm. The comparison with the original SHADE a...

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Main Authors:	Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy
Format:	Article
Language:	English
Published:	Brno University of Technology 2018-06-01
Series:	Mendel
Subjects:	Distance based parameter adaptation SHADE Differential evolution DBSCAN
Online Access:	https://mendel-journal.org/index.php/mendel/article/view/13

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spelling	doaj-1d67c460808240258f044a95f7cae1f62021-07-21T07:38:45ZengBrno University of TechnologyMendel1803-38142571-37012018-06-0124110.13164/mendel.2018.1.00913Clustering Analysis of the Population in Db_SHADE AlgorithmAdam ViktorinRoman SenkerikMichal PluhacekTomas Kadavy This paper provides an analysis of the population clustering in a novel Success-History based Adaptive Differential Evolution algorithm with Distance based adaptation (Db_SHADE) in order to analyze the exploration and exploitation abilities of the algorithm. The comparison with the original SHADE algorithm is performed on the CEC2015 benchmark set in two dimensional settings (10D and 30D). The clustering analysis helps to answer the question about prolonged exploration phase of the Db_SHADE algorithm. Possible future research directions are drawn in the discussion and conclusion. https://mendel-journal.org/index.php/mendel/article/view/13Distance based parameter adaptationSHADEDifferential evolutionDBSCAN
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Adam Viktorin Roman Senkerik Michal Pluhacek Tomas Kadavy
spellingShingle	Adam Viktorin Roman Senkerik Michal Pluhacek Tomas Kadavy Clustering Analysis of the Population in Db_SHADE Algorithm Mendel Distance based parameter adaptation SHADE Differential evolution DBSCAN
author_facet	Adam Viktorin Roman Senkerik Michal Pluhacek Tomas Kadavy
author_sort	Adam Viktorin
title	Clustering Analysis of the Population in Db_SHADE Algorithm
title_short	Clustering Analysis of the Population in Db_SHADE Algorithm
title_full	Clustering Analysis of the Population in Db_SHADE Algorithm
title_fullStr	Clustering Analysis of the Population in Db_SHADE Algorithm
title_full_unstemmed	Clustering Analysis of the Population in Db_SHADE Algorithm
title_sort	clustering analysis of the population in db_shade algorithm
publisher	Brno University of Technology
series	Mendel
issn	1803-3814 2571-3701
publishDate	2018-06-01
description	This paper provides an analysis of the population clustering in a novel Success-History based Adaptive Differential Evolution algorithm with Distance based adaptation (Db_SHADE) in order to analyze the exploration and exploitation abilities of the algorithm. The comparison with the original SHADE algorithm is performed on the CEC2015 benchmark set in two dimensional settings (10D and 30D). The clustering analysis helps to answer the question about prolonged exploration phase of the Db_SHADE algorithm. Possible future research directions are drawn in the discussion and conclusion.
topic	Distance based parameter adaptation SHADE Differential evolution DBSCAN
url	https://mendel-journal.org/index.php/mendel/article/view/13
work_keys_str_mv	AT adamviktorin clusteringanalysisofthepopulationindbshadealgorithm AT romansenkerik clusteringanalysisofthepopulationindbshadealgorithm AT michalpluhacek clusteringanalysisofthepopulationindbshadealgorithm AT tomaskadavy clusteringanalysisofthepopulationindbshadealgorithm
_version_	1721292917786542080

Clustering Analysis of the Population in Db_SHADE Algorithm

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