Comparison of swarm intelligence algorithms for high dimensional optimization problems

High dimensional optimization considers being one of the most challenges that face the algorithms for finding an optimal solution for real-world problems. These problems have been appeared in diverse practical fields including business and industries. Within a huge number of algorithms, selectin...

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Main Authors:	Bashath, Samar, Ismail, Amelia Ritahani
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science 2018
Subjects:	T Technology (General) T58.7 Production capacity. Manufacturing capacity
Online Access:	http://irep.iium.edu.my/65214/ http://irep.iium.edu.my/65214/ http://irep.iium.edu.my/65214/ http://irep.iium.edu.my/65214/1/65214_Comparison%20of%20swarm%20intelligence%20algorithms%20for%20high%20dimensional%20optimization%20problems.pdf http://irep.iium.edu.my/65214/2/65214_Comparison%20of%20swarm%20intelligence%20algorithms%20for%20high%20dimensional%20optimization%20problems_SCOPUS.pdf

id	iium-65214
recordtype	eprints
spelling	iium-652142018-08-20T08:42:45Z http://irep.iium.edu.my/65214/ Comparison of swarm intelligence algorithms for high dimensional optimization problems Bashath, Samar Ismail, Amelia Ritahani T Technology (General) T58.7 Production capacity. Manufacturing capacity High dimensional optimization considers being one of the most challenges that face the algorithms for finding an optimal solution for real-world problems. These problems have been appeared in diverse practical fields including business and industries. Within a huge number of algorithms, selecting one algorithm among others for solving the high dimensional optimization problem is not an easily accomplished task. This paper presents a comprehensive study of two swarm intelligence based algorithms: 1- particle swarm optimization (PSO), 2-cuckoo search (CS).The two algorithms are analyzed and compared for problems consisting of high dimensions in respect of solution accuracy, and runtime performance by various classes of benchmark functions. Institute of Advanced Engineering and Science 2018-07-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/65214/1/65214_Comparison%20of%20swarm%20intelligence%20algorithms%20for%20high%20dimensional%20optimization%20problems.pdf application/pdf en http://irep.iium.edu.my/65214/2/65214_Comparison%20of%20swarm%20intelligence%20algorithms%20for%20high%20dimensional%20optimization%20problems_SCOPUS.pdf Bashath, Samar and Ismail, Amelia Ritahani (2018) Comparison of swarm intelligence algorithms for high dimensional optimization problems. Indonesian Journal of Electrical Engineering and Computer Science, 11 (1). pp. 300-307. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/article/view/10622/8786 10.11591/ijeecs.v11.i1.pp300-307
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General) T58.7 Production capacity. Manufacturing capacity
spellingShingle	T Technology (General) T58.7 Production capacity. Manufacturing capacity Bashath, Samar Ismail, Amelia Ritahani Comparison of swarm intelligence algorithms for high dimensional optimization problems
description	High dimensional optimization considers being one of the most challenges that face the algorithms for finding an optimal solution for real-world problems. These problems have been appeared in diverse practical fields including business and industries. Within a huge number of algorithms, selecting one algorithm among others for solving the high dimensional optimization problem is not an easily accomplished task. This paper presents a comprehensive study of two swarm intelligence based algorithms: 1- particle swarm optimization (PSO), 2-cuckoo search (CS).The two algorithms are analyzed and compared for problems consisting of high dimensions in respect of solution accuracy, and runtime performance by various classes of benchmark functions.
format	Article
author	Bashath, Samar Ismail, Amelia Ritahani
author_facet	Bashath, Samar Ismail, Amelia Ritahani
author_sort	Bashath, Samar
title	Comparison of swarm intelligence algorithms for high dimensional optimization problems
title_short	Comparison of swarm intelligence algorithms for high dimensional optimization problems
title_full	Comparison of swarm intelligence algorithms for high dimensional optimization problems
title_fullStr	Comparison of swarm intelligence algorithms for high dimensional optimization problems
title_full_unstemmed	Comparison of swarm intelligence algorithms for high dimensional optimization problems
title_sort	comparison of swarm intelligence algorithms for high dimensional optimization problems
publisher	Institute of Advanced Engineering and Science
publishDate	2018
url	http://irep.iium.edu.my/65214/ http://irep.iium.edu.my/65214/ http://irep.iium.edu.my/65214/ http://irep.iium.edu.my/65214/1/65214_Comparison%20of%20swarm%20intelligence%20algorithms%20for%20high%20dimensional%20optimization%20problems.pdf http://irep.iium.edu.my/65214/2/65214_Comparison%20of%20swarm%20intelligence%20algorithms%20for%20high%20dimensional%20optimization%20problems_SCOPUS.pdf
first_indexed	2023-09-18T21:32:32Z
last_indexed	2023-09-18T21:32:32Z
_version_	1777412606249664512

Comparison of swarm intelligence algorithms for high dimensional optimization problems

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