Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization

The new era knowledge of optimization algorithm is massively boosted recently. Among several optimization models, multi-swarm approach has been proposed most recently for balancing the exploration and exploitation capability through the Particle Swarm Optimization (PSO) algorithm. The proposed multi...

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Main Authors:	Salih, Sinan Q., Alsewari, Abdulrahman A., Yaseen, Zeher M.
Format:	Conference or Workshop Item
Language:	English
Published:	Association for Computing Machinery 2019
Subjects:	Q Science (General) T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/22272/ http://umpir.ump.edu.my/id/eprint/22272/ http://umpir.ump.edu.my/id/eprint/22272/1/Pressure%20Vessel%20Design%20Simulation1.pdf

id	ump-22272
recordtype	eprints
spelling	ump-222722020-01-13T01:25:33Z http://umpir.ump.edu.my/id/eprint/22272/ Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization Salih, Sinan Q. Alsewari, Abdulrahman A. Yaseen, Zeher M. Q Science (General) T Technology (General) TA Engineering (General). Civil engineering (General) The new era knowledge of optimization algorithm is massively boosted recently. Among several optimization models, multi-swarm approach has been proposed most recently for balancing the exploration and exploitation capability through the Particle Swarm Optimization (PSO) algorithm. The proposed multi-swarm model which is called Meeting Room Approach (MRA), is tested and evaluated based on solving normal and large-scale problems. In the current research, the feasibility of the proposed Multi-Swarm Particle Swarm Optimization (MPSO) is adopted to simulate mechanical engineering problem namely pressure vessel design (PVD). The results indicated the potential of the proposed MPSO model on simulating the PVD problem with optimum solution over the standalone PSO. Further, the current study results authenticated against other famous meta-heuristics. Overall, MPSO reported an excellent optimization solution with fast convergence learning process. Association for Computing Machinery 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22272/1/Pressure%20Vessel%20Design%20Simulation1.pdf Salih, Sinan Q. and Alsewari, Abdulrahman A. and Yaseen, Zeher M. (2019) Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization. In: ICSCA '19: Proceedings of the 2019 8th International Conference on Software and Computer Applications, 19-22 February 2019 , Penang, Malaysia. pp. 120-124.. ISBN 978-1-4503-6573-4 https://dx.doi.org/10.1145/3316615.3316643
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Q Science (General) T Technology (General) TA Engineering (General). Civil engineering (General)
spellingShingle	Q Science (General) T Technology (General) TA Engineering (General). Civil engineering (General) Salih, Sinan Q. Alsewari, Abdulrahman A. Yaseen, Zeher M. Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization
description	The new era knowledge of optimization algorithm is massively boosted recently. Among several optimization models, multi-swarm approach has been proposed most recently for balancing the exploration and exploitation capability through the Particle Swarm Optimization (PSO) algorithm. The proposed multi-swarm model which is called Meeting Room Approach (MRA), is tested and evaluated based on solving normal and large-scale problems. In the current research, the feasibility of the proposed Multi-Swarm Particle Swarm Optimization (MPSO) is adopted to simulate mechanical engineering problem namely pressure vessel design (PVD). The results indicated the potential of the proposed MPSO model on simulating the PVD problem with optimum solution over the standalone PSO. Further, the current study results authenticated against other famous meta-heuristics. Overall, MPSO reported an excellent optimization solution with fast convergence learning process.
format	Conference or Workshop Item
author	Salih, Sinan Q. Alsewari, Abdulrahman A. Yaseen, Zeher M.
author_facet	Salih, Sinan Q. Alsewari, Abdulrahman A. Yaseen, Zeher M.
author_sort	Salih, Sinan Q.
title	Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization
title_short	Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization
title_full	Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization
title_fullStr	Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization
title_full_unstemmed	Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization
title_sort	pressure vessel design simulation: implementing of multi-swarm particle swarm optimization
publisher	Association for Computing Machinery
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/22272/ http://umpir.ump.edu.my/id/eprint/22272/ http://umpir.ump.edu.my/id/eprint/22272/1/Pressure%20Vessel%20Design%20Simulation1.pdf
first_indexed	2023-09-18T22:33:04Z
last_indexed	2023-09-18T22:33:04Z
_version_	1777416414790942720

Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization

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