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| Titre: | Optimal reliability allocation of heterogeneous components in pharmaceutical production plant |
| Auteur(s): | Aqel, Ibrahim
Mellal, Mohamed Arezki |
| Mots-clés: | COVID-19
Grey wolf optimizer-shuffled frog-leaping algorithm-adaptive particle swarm optimization
Heterogeneous components
Pharmaceutical plant
Reliability allocation |
| Date de publication: | 2023 |
| Editeur: | Springer |
| Collection/Numéro: | International Journal on Interactive Design and Manufacturing/ (2023);pp. 1-10 |
| Résumé: | he COVID-19 pandemic and competitiveness pressure the pharmaceutical companies to acquire systems designed to be as reliable as possible. The present paper aims to optimize the design of a pharmaceutical plant through the reliability allocation of heterogeneous components under the design constraints. The problem is solved by resorting to three nature-inspired algorithms of artificial intelligence (AI): grey wolf optimizer (GWO), shuffled frog-leaping algorithm (SFLA), and adaptive particle swarm optimization (ADAP-PSO). A penalty function is implemented to handle the constraints and the results obtained are compared |
| URI/URL: | https://link.springer.com/article/10.1007/s12008-023-01256-1
DOI 10.1007/s12008-023-01256-1
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11214 |
| ISSN: | 19552513 |
| Collection(s) : | Publications Internationales
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