Optimizing the system design and its maintenance strategy has to be considered when the best performance is expected. This chapter couples Multi-Objective Evolutionary Algorithms (MOEAs) and discrete-event simulation (DES) to explore systems’ design alternatives. It then explores the idea of preventive maintenance strategy with the aim of finding the best solution taking into account availability and cost. Each solution supplied by the MOEA is analyzed using DES in a procedure that considers the effect of including periodic preventive maintenance activities in the system mission time. An application case is presented and successfully solved using several configurations of an EMOA with selection criteria based on Decomposition and Differential Evolution as operator (MOEA/D-DE). The performance to solve the multi-objective problem is compared.
Multi-Objective Optimal Design and Maintenance for Systems Based on Calendar Times Using MOEA/D-DE
Space Technol.Proceedings
International Conference on Uncertainty Quantification & Optimisation ; 2020 ; Brussels, Belgium November 17, 2020 - November 20, 2020
Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications ; Kapitel : 5 ; 69-84
16.07.2021
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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