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

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

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Meeting room approach; Multi-swarm; Particle swarm optimization computational intelligence; Pressure vessel design
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. AbdulRahman Ahmed Mohammed Al-Sewari
Date Deposited: 10 Jun 2019 02:07
Last Modified: 13 Jan 2020 01:25
URI: http://umpir.ump.edu.my/id/eprint/22272
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