Particle Swarm Optimization with Distance Based Repulsivity

In this study, we propose a repulsive mechanism for the Particle Swarm Optimization algorithm that improves its performance on multi-modal problems. The repulsive mechanism is further extended with a distance-based modification. The results are presented and tested for statistical significance. We...

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Bibliographic Details
Main Authors:	Michal Pluhacek, Ivan Zelinka, Roman Senkerik, Adam Viktorin, Tomas Kadavy
Format:	Article
Language:	English
Published:	Brno University of Technology 2018-12-01
Series:	Mendel
Subjects:	Swarm Intelligence Particle Swarm Optimization Repulsive Distance based
Online Access:	https://mendel-journal.org/index.php/mendel/article/view/21

id	doaj-c88ee2cdd47c4a1491b1de07f95b261f
record_format	Article
spelling	doaj-c88ee2cdd47c4a1491b1de07f95b261f2021-07-21T07:38:31ZengBrno University of TechnologyMendel1803-38142571-37012018-12-0124210.13164/mendel.2018.2.08121Particle Swarm Optimization with Distance Based RepulsivityMichal Pluhacek0Ivan Zelinka1Roman Senkerik2Adam Viktorin3Tomas Kadavy4Tomas Bata University in Zlin, Faculty of Applied InformaticsTechnical University of Ostrava, Faculty of Electrical Engineering and Computer ScienceTomas Bata University in Zlin, Faculty of Applied InformaticsTomas Bata University in Zlin, Faculty of Applied InformaticsTomas Bata University in Zlin, Faculty of Applied Informatics In this study, we propose a repulsive mechanism for the Particle Swarm Optimization algorithm that improves its performance on multi-modal problems. The repulsive mechanism is further extended with a distance-based modification. The results are presented and tested for statistical significance. We discuss the observations and propose further directions for the research. https://mendel-journal.org/index.php/mendel/article/view/21Swarm IntelligenceParticle Swarm OptimizationRepulsiveDistance based
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Michal Pluhacek Ivan Zelinka Roman Senkerik Adam Viktorin Tomas Kadavy
spellingShingle	Michal Pluhacek Ivan Zelinka Roman Senkerik Adam Viktorin Tomas Kadavy Particle Swarm Optimization with Distance Based Repulsivity Mendel Swarm Intelligence Particle Swarm Optimization Repulsive Distance based
author_facet	Michal Pluhacek Ivan Zelinka Roman Senkerik Adam Viktorin Tomas Kadavy
author_sort	Michal Pluhacek
title	Particle Swarm Optimization with Distance Based Repulsivity
title_short	Particle Swarm Optimization with Distance Based Repulsivity
title_full	Particle Swarm Optimization with Distance Based Repulsivity
title_fullStr	Particle Swarm Optimization with Distance Based Repulsivity
title_full_unstemmed	Particle Swarm Optimization with Distance Based Repulsivity
title_sort	particle swarm optimization with distance based repulsivity
publisher	Brno University of Technology
series	Mendel
issn	1803-3814 2571-3701
publishDate	2018-12-01
description	In this study, we propose a repulsive mechanism for the Particle Swarm Optimization algorithm that improves its performance on multi-modal problems. The repulsive mechanism is further extended with a distance-based modification. The results are presented and tested for statistical significance. We discuss the observations and propose further directions for the research.
topic	Swarm Intelligence Particle Swarm Optimization Repulsive Distance based
url	https://mendel-journal.org/index.php/mendel/article/view/21
work_keys_str_mv	AT michalpluhacek particleswarmoptimizationwithdistancebasedrepulsivity AT ivanzelinka particleswarmoptimizationwithdistancebasedrepulsivity AT romansenkerik particleswarmoptimizationwithdistancebasedrepulsivity AT adamviktorin particleswarmoptimizationwithdistancebasedrepulsivity AT tomaskadavy particleswarmoptimizationwithdistancebasedrepulsivity
_version_	1721292996289232896

Particle Swarm Optimization with Distance Based Repulsivity

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