A review: evolutionary computations (GA and PSO) in geotechnical engineering
This study briefly reviews the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in geotechnical engineering since GA and PSO are widely used in civil engineering. The application of GA and PSO is studied in three popular families of geotechnical problems including unconfin...
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| Format: | Article |
| Language: | English |
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Scientific Research Publishing
2017
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| Online Access: | http://eprints.utm.my/81218/1/ZulkifliYusop2017_AReviewEvolutionaryComputationsGAandPSO.pdf |
| _version_ | 1796863343904948224 |
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| author | Andrab, Syed Gous Hekmat, Ali Yusop, Zulkifli |
| author_facet | Andrab, Syed Gous Hekmat, Ali Yusop, Zulkifli |
| author_sort | Andrab, Syed Gous |
| collection | ePrints |
| description | This study briefly reviews the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in geotechnical engineering since GA and PSO are widely used in civil engineering. The application of GA and PSO is studied in three popular families of geotechnical problems including unconfined seepage analysis, slope stability analysis, and foundation design. In each category the available results from different studies are reviewed and compared. The comparison of results shows the desirable accuracy in the predicting of optimal values in the process of analysis and design. The presented methods perform successfully in the reviewed problems. However, PSO predicts the optimum values in fewer numbers of iterations, which suggests higher performance in term of implementation/application. |
| first_indexed | 2024-03-05T20:25:21Z |
| format | Article |
| id | utm.eprints-81218 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:25:21Z |
| publishDate | 2017 |
| publisher | Scientific Research Publishing |
| record_format | dspace |
| spelling | utm.eprints-812182019-07-24T03:37:20Z http://eprints.utm.my/81218/ A review: evolutionary computations (GA and PSO) in geotechnical engineering Andrab, Syed Gous Hekmat, Ali Yusop, Zulkifli QA75 Electronic computers. Computer science This study briefly reviews the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in geotechnical engineering since GA and PSO are widely used in civil engineering. The application of GA and PSO is studied in three popular families of geotechnical problems including unconfined seepage analysis, slope stability analysis, and foundation design. In each category the available results from different studies are reviewed and compared. The comparison of results shows the desirable accuracy in the predicting of optimal values in the process of analysis and design. The presented methods perform successfully in the reviewed problems. However, PSO predicts the optimum values in fewer numbers of iterations, which suggests higher performance in term of implementation/application. Scientific Research Publishing 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/81218/1/ZulkifliYusop2017_AReviewEvolutionaryComputationsGAandPSO.pdf Andrab, Syed Gous and Hekmat, Ali and Yusop, Zulkifli (2017) A review: evolutionary computations (GA and PSO) in geotechnical engineering. Computational Water, Energy, and Environmental Engineering, 6 (2). pp. 154-179. ISSN 2168-1562 https://dx.doi.org/10.4236/cweee.2017.62012 DOI:10.4236/cweee.2017.62012 |
| spellingShingle | QA75 Electronic computers. Computer science Andrab, Syed Gous Hekmat, Ali Yusop, Zulkifli A review: evolutionary computations (GA and PSO) in geotechnical engineering |
| title | A review: evolutionary computations (GA and PSO) in geotechnical engineering |
| title_full | A review: evolutionary computations (GA and PSO) in geotechnical engineering |
| title_fullStr | A review: evolutionary computations (GA and PSO) in geotechnical engineering |
| title_full_unstemmed | A review: evolutionary computations (GA and PSO) in geotechnical engineering |
| title_short | A review: evolutionary computations (GA and PSO) in geotechnical engineering |
| title_sort | review evolutionary computations ga and pso in geotechnical engineering |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/81218/1/ZulkifliYusop2017_AReviewEvolutionaryComputationsGAandPSO.pdf |
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