Coordination analysis of system reliability using NSGA-II: a comparative study

Hemant Kumar () and R. N. Prajapati ()
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Hemant Kumar: Datta Meghe Institute of Higher Education and Research
R. N. Prajapati: Chandigarh University

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 6, No 37, 2514-2526

Abstract: 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.

Keywords: System reliability; Exponential weight; Fuzzy set theory; NSGA-II (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13198-023-02104-x

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