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 language | English |
|---|---|
| Title of host publication | ACM International Conference Proceeding Series |
| Publisher | Association for Computing Machinery |
| Pages | 120-124 |
| Number of pages | 5 |
| ISBN (Print) | 9781450365734 |
| DOIs | |
| State | Published - 2019 |
| Externally published | Yes |
| Event | 8th International Conference on Software and Computer Applications, ICSCA 2019 - Penang, Malaysia Duration: 19 Feb 2019 → 21 Feb 2019 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | Part F147956 |
Conference
| Conference | 8th International Conference on Software and Computer Applications, ICSCA 2019 |
|---|---|
| Country/Territory | Malaysia |
| City | Penang |
| Period | 19/02/19 → 21/02/19 |
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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