SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE
Metaheuristic algorithms have become increasingly popular in recent years as a method for determining the optimal design of structures. Nowadays, approximate optimization methods are widely used. This study utilized the Self Adaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm as an appro...
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| Format: | Article |
| Language: | en |
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2023
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| Online Access: | http://eprints.uthm.edu.my/8361/1/J15695_9fd340cc648680cb26b546930eb8a4a7.pdf http://eprints.uthm.edu.my/8361/ |
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| author | Paknahad, M. Hosseini, P. Hakim, S.J.S |
| author_facet | Paknahad, M. Hosseini, P. Hakim, S.J.S |
| author_sort | Paknahad, M. |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Metaheuristic algorithms have become increasingly popular in recent years as a method for determining the optimal design of structures. Nowadays, approximate optimization methods are widely used. This study utilized the Self Adaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm as an approximate optimization method, since the EVPS algorithm requires experimental parameters. As a well-known and large-scale structure, the 582-bar spatial truss structure was analyzed using the finite element method, and optimization processes were implemented using MATLAB. In order to obtain weight optimization, the self-adaptive enhanced vibration particle system (SA-EVPS) is compared with the EVPS algorithm. |
| format | Article |
| id | my.uthm.eprints-8361 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2023 |
| record_format | eprints |
| spelling | my.uthm.eprints-83612023-02-22T02:18:08Z http://eprints.uthm.edu.my/8361/ SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE Paknahad, M. Hosseini, P. Hakim, S.J.S QA273-280 Probabilities. Mathematical statistics Metaheuristic algorithms have become increasingly popular in recent years as a method for determining the optimal design of structures. Nowadays, approximate optimization methods are widely used. This study utilized the Self Adaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm as an approximate optimization method, since the EVPS algorithm requires experimental parameters. As a well-known and large-scale structure, the 582-bar spatial truss structure was analyzed using the finite element method, and optimization processes were implemented using MATLAB. In order to obtain weight optimization, the self-adaptive enhanced vibration particle system (SA-EVPS) is compared with the EVPS algorithm. 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/8361/1/J15695_9fd340cc648680cb26b546930eb8a4a7.pdf Paknahad, M. and Hosseini, P. and Hakim, S.J.S (2023) SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, 13 (2). pp. 207-217. |
| spellingShingle | QA273-280 Probabilities. Mathematical statistics Paknahad, M. Hosseini, P. Hakim, S.J.S SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE |
| title | SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION
OF THE 582-BAR SPATIAL TRUSS STRUCTURE |
| title_full | SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION
OF THE 582-BAR SPATIAL TRUSS STRUCTURE |
| title_fullStr | SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION
OF THE 582-BAR SPATIAL TRUSS STRUCTURE |
| title_full_unstemmed | SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION
OF THE 582-BAR SPATIAL TRUSS STRUCTURE |
| title_short | SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION
OF THE 582-BAR SPATIAL TRUSS STRUCTURE |
| title_sort | sa-evps algorithm for discrete size optimization
of the 582-bar spatial truss structure |
| topic | QA273-280 Probabilities. Mathematical statistics |
| url | http://eprints.uthm.edu.my/8361/1/J15695_9fd340cc648680cb26b546930eb8a4a7.pdf http://eprints.uthm.edu.my/8361/ |
| url_provider | http://eprints.uthm.edu.my/ |