Improved particle swarm optimization by fast annealing algorithm

This paper proposes a hybrid particle swarm optimization with the fast-simulated annealing (PSO-FSA). The proposed algorithm is meant to solve high dimensional optimization problems based on two strategies, which are utilizing the particle swarm optimization to define the global search area and util...

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Main Authors:	Bashath, Samar, Ismail, Amelia Ritahani
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/7/77179%20Improved%20Particle%20Swarm.pdf http://irep.iium.edu.my/77179/8/77179%20Improved%20Particle%20Swarm%20SCOPUS.pdf

id	iium-77179
recordtype	eprints
spelling	iium-771792020-02-03T02:01:18Z http://irep.iium.edu.my/77179/ Improved particle swarm optimization by fast annealing algorithm Bashath, Samar Ismail, Amelia Ritahani QA75 Electronic computers. Computer science This paper proposes a hybrid particle swarm optimization with the fast-simulated annealing (PSO-FSA). The proposed algorithm is meant to solve high dimensional optimization problems based on two strategies, which are utilizing the particle swarm optimization to define the global search area and utilizing the fast-simulated annealing to refine the visited search area. To evaluate its performance, we examined the algorithm on 14 benchmark functions. Based on the results, PSO-FSA has higher accuracy result compared with particle swarm, simulated annealing. We also apply the algorithm in clustering problem, and the results shows that the proposed method has better accuracy than the optimization methods. IEEE 2019-09-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/77179/7/77179%20Improved%20Particle%20Swarm.pdf application/pdf en http://irep.iium.edu.my/77179/8/77179%20Improved%20Particle%20Swarm%20SCOPUS.pdf Bashath, Samar and Ismail, Amelia Ritahani (2019) Improved particle swarm optimization by fast annealing algorithm. In: 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), 13th-15th March 2019, Yogyakarta, Indonesia,. https://ieeexplore.ieee.org/abstract/document/8834515 10.1109/ICAIIT.2019.8834515
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Bashath, Samar Ismail, Amelia Ritahani Improved particle swarm optimization by fast annealing algorithm
description	This paper proposes a hybrid particle swarm optimization with the fast-simulated annealing (PSO-FSA). The proposed algorithm is meant to solve high dimensional optimization problems based on two strategies, which are utilizing the particle swarm optimization to define the global search area and utilizing the fast-simulated annealing to refine the visited search area. To evaluate its performance, we examined the algorithm on 14 benchmark functions. Based on the results, PSO-FSA has higher accuracy result compared with particle swarm, simulated annealing. We also apply the algorithm in clustering problem, and the results shows that the proposed method has better accuracy than the optimization methods.
format	Conference or Workshop Item
author	Bashath, Samar Ismail, Amelia Ritahani
author_facet	Bashath, Samar Ismail, Amelia Ritahani
author_sort	Bashath, Samar
title	Improved particle swarm optimization by fast annealing algorithm
title_short	Improved particle swarm optimization by fast annealing algorithm
title_full	Improved particle swarm optimization by fast annealing algorithm
title_fullStr	Improved particle swarm optimization by fast annealing algorithm
title_full_unstemmed	Improved particle swarm optimization by fast annealing algorithm
title_sort	improved particle swarm optimization by fast annealing algorithm
publisher	IEEE
publishDate	2019
url	http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/7/77179%20Improved%20Particle%20Swarm.pdf http://irep.iium.edu.my/77179/8/77179%20Improved%20Particle%20Swarm%20SCOPUS.pdf
first_indexed	2023-09-18T21:48:54Z
last_indexed	2023-09-18T21:48:54Z
_version_	1777413635812884480

Improved particle swarm optimization by fast annealing algorithm

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