Abstract
This paper presents an approach to determine the optimal value of multi-objective optimization of a reliability-based system design problem. For this purpose, an over-speed protection system for a gas turbine is designed with mutually conflicting objectives such as the system reliability and system cost. This is a multi-objective nonlinear mixed integer programming problem subject to the upper limits on design constraints such as weight and volume. To solve the problem, a fuzzy approach is adopted to specify the goals in terms of the membership functions. This approach is effective in modeling the vague and imprecise information involved in the system. NSGA-II is employed to obtain the Pareto solutions efficiently. Finally, one out of these solutions is obtained by the decision-making methods such as TOPSIS and Shannon’s entropy approach. The efficiency of the proposed approach is compared with the existing approach.
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