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: Proceeding Paper
Language:English
English
Published: IEEE 2019
Subjects:
Online Access: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
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author Bashath, Samar
Ismail, Amelia Ritahani
author_facet Bashath, Samar
Ismail, Amelia Ritahani
author_sort Bashath, Samar
building IIUM Repository
collection Online Access
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.
first_indexed 2025-11-14T17:40:10Z
format Proceeding Paper
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institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T17:40:10Z
publishDate 2019
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling iium-771792020-07-13T01:35:43Z 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 Proceeding Paper 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), 13 - 15 Mar 2019, Yogyakarta, Indonesia. https://ieeexplore.ieee.org/abstract/document/8834515 10.1109/ICAIIT.2019.8834515
spellingShingle QA75 Electronic computers. Computer science
Bashath, Samar
Ismail, Amelia Ritahani
Improved particle swarm optimization by fast annealing algorithm
title 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_short Improved particle swarm optimization by fast annealing algorithm
title_sort improved particle swarm optimization by fast annealing algorithm
topic QA75 Electronic computers. Computer science
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