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| Titre: | Improvement of system reliability in a natural gas processing facility by PSO and DE |
| Auteur(s): | Saheb, Tafsouthe
Mellal, Mohamed Arezki |
| Mots-clés: | Artificial intelligence
Bio-inspired algorithms
Differential evolution
Natural gas processing facility
Optimization
Particle swarm optimization
Redundancy allocation
System reliability |
| Date de publication: | 2024 |
| Editeur: | Springer Nature |
| Collection/Numéro: | International Journal on Interactive Design and Manufacturing/Vol. 18, N° 1(2024);PP. 167 - 176 |
| Résumé: | The reliability of the systems as well as its optimization is the first concern of the designers. The elements of a given system can be either in series, parallel, parallel-series, or in a complex configuration. This paper addresses the reliability optimization of a natural gas processing facility. The reliability of this system is calculated and two redundancies strategies, active and standby, are optimized under the resource limits to improve reliability. Two bio-inspired optimization algorithms, namely the particle swarm optimization (PSO) and the differential evolution (DE), are implemented with penalty functions to find the optimal redundancy. The results obtained are compared. |
| URI/URL: | https://link.springer.com/article/10.1007/s12008-023-01444-z
https://doi.org/10.1007/s12008-023-01444-z
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13575 |
| ISSN: | 1955-2513 |
| Collection(s) : | Publications Internationales
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