Tabu Search in the Redundancy Allocation Optimization for Multi-state Series-parallel Systems
نویسندگان
چکیده
In this paper, a tabu search for solving the redundancy allocation problem (RAP) in multi-states (different performance levels) series-parallel systems (MSPS) is proposed. The problem is modeled to find the optimal system configuration that minimizes the cost of the component selection and redundancy level under given minimum required system reliability constraints. The proposed solution methodology offers several benefits compared with other approaches. The computational results demonstrate advantages of the proposed approach for solving this type of problem.
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