HEDJAZI D, Layachi F, Boubiche DE.
A multi-agent system for distributed maintenance scheduling. https://www.sciencedirect.com/science/article/pii/S004579061832620X⋕!https://www.sciencedirect.com/science/article/pii/S004579061832620X⋕!. 2019;77 :1-11.
AbstractDue to the intrinsically geo-distributed subcontracting maintenance activity practice, the maintenance scheduling has for a long time been a major challenge in the industry. This research work presents a methodology to schedule the maintenance activities of geo-distributed assets. A multi-agent system based approach is proposed to enable the decision-making for the subcontractors in a distributed industrial environment under uncertainty. An auction based negotiation mechanism is designed to promote competition and cooperation among the different agents, and to obtain global good schedule.Compared to the Weighted Shortest Processing Time first–Heuristic–Earliest Due Date (WSPT-H-EDD) method, the experimental results show that the proposed approach is able to provide scheduling scheme with good performances in terms of Global Cost, Total Weighted Tardiness Cost and makespan.
HEDJAZI D, Layachi F, Boubiche DE.
A multi-agent system for distributed maintenance scheduling. https://www.sciencedirect.com/science/article/pii/S004579061832620X⋕!https://www.sciencedirect.com/science/article/pii/S004579061832620X⋕!. 2019;77 :1-11.
AbstractDue to the intrinsically geo-distributed subcontracting maintenance activity practice, the maintenance scheduling has for a long time been a major challenge in the industry. This research work presents a methodology to schedule the maintenance activities of geo-distributed assets. A multi-agent system based approach is proposed to enable the decision-making for the subcontractors in a distributed industrial environment under uncertainty. An auction based negotiation mechanism is designed to promote competition and cooperation among the different agents, and to obtain global good schedule.Compared to the Weighted Shortest Processing Time first–Heuristic–Earliest Due Date (WSPT-H-EDD) method, the experimental results show that the proposed approach is able to provide scheduling scheme with good performances in terms of Global Cost, Total Weighted Tardiness Cost and makespan.
Kadri S, Aouag S, HEDJAZI D.
Multi-level approach for controlling architecture quality with Alloy. 2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS). 2019;1 :1-8.
Kadri S, Aouag S, HEDJAZI D.
Multi-level approach for controlling architecture quality with Alloy. 2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS). 2019;1 :1-8.
Kadri S, Aouag S, HEDJAZI D.
Multi-level approach for controlling architecture quality with Alloy. 2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS). 2019;1 :1-8.
Benmessaoud F, Chikhi A, Belkacem S, Boukhalfa G.
Multi-Level Direct Torque Control of Induction Motor Using Fuzzy-Genetic Speed Regulation. 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET). 2019 :1-5.
Benmessaoud F, Chikhi A, Belkacem S, Boukhalfa G.
Multi-Level Direct Torque Control of Induction Motor Using Fuzzy-Genetic Speed Regulation. 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET). 2019 :1-5.
Benmessaoud F, Chikhi A, Belkacem S, Boukhalfa G.
Multi-Level Direct Torque Control of Induction Motor Using Fuzzy-Genetic Speed Regulation. 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET). 2019 :1-5.
Benmessaoud F, Chikhi A, Belkacem S, Boukhalfa G.
Multi-Level Direct Torque Control of Induction Motor Using Fuzzy-Genetic Speed Regulation. 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET). 2019 :1-5.
Mansoura L, Noureddine A, Assas O, Yassine A.
Multimodal face and iris recognition with adaptive score normalization using several comparative methods. Indian Journal of Science and TechnologyIndian Journal of Science and Technology. 2019;12 :7.
Mansoura L, Noureddine A, Assas O, Yassine A.
Multimodal face and iris recognition with adaptive score normalization using several comparative methods. Indian Journal of Science and TechnologyIndian Journal of Science and Technology. 2019;12 :7.
Mansoura L, Noureddine A, Assas O, Yassine A.
Multimodal face and iris recognition with adaptive score normalization using several comparative methods. Indian Journal of Science and TechnologyIndian Journal of Science and Technology. 2019;12 :7.
Mansoura L, Noureddine A, Assas O, Yassine A.
Multimodal face and iris recognition with adaptive score normalization using several comparative methods. Indian Journal of Science and TechnologyIndian Journal of Science and Technology. 2019;12 :7.
zemouri N, Bouzgou H, Gueymard CA.
Multimodel ensemble approach for hourly global solar irradiation forecasting. The European Physical Journal PlusThe European Physical Journal Plus. 2019;134 :594.
zemouri N, Bouzgou H, Gueymard CA.
Multimodel ensemble approach for hourly global solar irradiation forecasting. The European Physical Journal PlusThe European Physical Journal Plus. 2019;134 :594.
zemouri N, Bouzgou H, Gueymard CA.
Multimodel ensemble approach for hourly global solar irradiation forecasting. The European Physical Journal PlusThe European Physical Journal Plus. 2019;134 :594.
Khedidja D, Hayet M.
Multiple Classifiers and Invariant Features Extraction for Digit Recognition. International Journal of Computer Electrical EngineeringInternational Journal of Computer Electrical Engineering. 2019;11 :41-52.
Khedidja D, Hayet M.
Multiple Classifiers and Invariant Features Extraction for Digit Recognition. International Journal of Computer Electrical EngineeringInternational Journal of Computer Electrical Engineering. 2019;11 :41-52.
Fadhila B.
Néphrose lipoïdique de l’enfant : Etude d’une cohorte de 40 cas. Congrès des sociétés françaises de Pédiatrie Congrès et de l'APLF, . 2019.
Aloqaily A, Al-Nawayseh MK, Baarah AH, Salah Z, Al-Hassan M, Al-Ghuwairi A-R.
A neural network analytical model for predicting determinants of mobile learning acceptance. International Journal of Computer Applications in TechnologyInternational Journal of Computer Applications in Technology. 2019;60 :73-85.