Abstract
This paper addresses the challenge of achieving a balance between reliability and cost in system design, considering the uncertainties often present in real-world situations. It introduces a methodology that utilizes the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to coordinate reliability and cost objectives. Unlike traditional approaches that treat the problem as a single objective and disregard conflicting objectives, the proposed methodology leverages fuzzy set theory to handle uncertainties effectively. The step-by-step methodology is supported by an illustrative example and is compared to NSGA-II with non-coordination and the weighted sum approach. By using NSGA-II, the methodology generates a set of Pareto-optimal solutions, considering the conflicting nature of reliability and cost. This research contributes to decision-making techniques in system design by providing an efficient approach for handling uncertainties and optimizing trade-offs between reliability and cost.
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Kumar, H., Prajapati, R.N. Coordination analysis of system reliability using NSGA-II: a comparative study. Int J Syst Assur Eng Manag 14, 2514–2526 (2023). https://doi.org/10.1007/s13198-023-02104-x
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DOI: https://doi.org/10.1007/s13198-023-02104-x