Abstract
This paper presents a new heuristic method for solving constrained redundancy reliability optimization problems for complex systems and compares its performance with existing heuristic methods. The method consists of two steps: selection of an optimal path and then determination of optimal components in the chosen path. Computational results show that the proposed algorithm performs better than the considered existing algorithms. The proposed method requires less computational effort than the considered existing algorithms.
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