Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method

This research aims to classify which SI algorithms have CAS or non-CAS criteria. The statistical comparative test method with 5 (five) characteristic test parameters was used as the proof approach that produces the classification. Based on the hypothesis that has been tested from 15 (fifteen) algori...

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Main Authors: Ketut Bayu Yogha Bintoro, Silvester Dian Handy Permana
Format: Article
Language:English
Published: Diponegoro University 2017-10-01
Series:Jurnal Teknologi dan Sistem Komputer
Subjects:
Online Access:https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12968
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author Ketut Bayu Yogha Bintoro
Silvester Dian Handy Permana
author_facet Ketut Bayu Yogha Bintoro
Silvester Dian Handy Permana
author_sort Ketut Bayu Yogha Bintoro
collection DOAJ
description This research aims to classify which SI algorithms have CAS or non-CAS criteria. The statistical comparative test method with 5 (five) characteristic test parameters was used as the proof approach that produces the classification. Based on the hypothesis that has been tested from 15 (fifteen) algorithms compared in this study, It was obtained that 8 of 15 (53.33%) algorithms has the majority of CAS characteristics, 3 of 15 (20%) algorithms has a minority of characteristics of CAS, and 4 out of 15 (26.66%) algorithms did not have CAS characteristics. The result can be a reference to understanding the characteristics of SI algorithms in the CAS and vice versa.
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spelling doaj.art-9c1744d33d654ceb8c0fce8eba3914952024-03-02T11:06:24ZengDiponegoro UniversityJurnal Teknologi dan Sistem Komputer2338-04032017-10-015416617110.14710/jtsiskom.5.4.2017.166-17112725Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test MethodKetut Bayu Yogha Bintoro0Silvester Dian Handy Permana1Department of Informatics, Universitas Trilogi, IndonesiaDepartment of Informatics, Universitas Trilogi, IndonesiaThis research aims to classify which SI algorithms have CAS or non-CAS criteria. The statistical comparative test method with 5 (five) characteristic test parameters was used as the proof approach that produces the classification. Based on the hypothesis that has been tested from 15 (fifteen) algorithms compared in this study, It was obtained that 8 of 15 (53.33%) algorithms has the majority of CAS characteristics, 3 of 15 (20%) algorithms has a minority of characteristics of CAS, and 4 out of 15 (26.66%) algorithms did not have CAS characteristics. The result can be a reference to understanding the characteristics of SI algorithms in the CAS and vice versa.https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12968swarm intelligence algorithmcomplex adaptive systemstatistical comparative teststatistical comparison test
spellingShingle Ketut Bayu Yogha Bintoro
Silvester Dian Handy Permana
Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method
Jurnal Teknologi dan Sistem Komputer
swarm intelligence algorithm
complex adaptive system
statistical comparative test
statistical comparison test
title Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method
title_full Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method
title_fullStr Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method
title_full_unstemmed Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method
title_short Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method
title_sort classification of swarm intelligence algorithms in complex adaptive system perspective with statistical comparative test method
topic swarm intelligence algorithm
complex adaptive system
statistical comparative test
statistical comparison test
url https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12968
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AT silvesterdianhandypermana classificationofswarmintelligencealgorithmsincomplexadaptivesystemperspectivewithstatisticalcomparativetestmethod