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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

53 Scopus citations

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 models. Overall, MPSO reported an excellent optimization solution with fast convergence learning process.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages120-124
Number of pages5
ISBN (Print)9781450365734
DOIs
StatePublished - 2019
Externally publishedYes
Event8th International Conference on Software and Computer Applications, ICSCA 2019 - Penang, Malaysia
Duration: 19 Feb 201921 Feb 2019

Publication series

NameACM International Conference Proceeding Series
VolumePart F147956

Conference

Conference8th International Conference on Software and Computer Applications, ICSCA 2019
Country/TerritoryMalaysia
CityPenang
Period19/02/1921/02/19

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

  • Meeting room approach
  • Multi-swarm
  • Particle swarm optimization computational intelligence
  • Pressure vessel design

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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