1985
DOI: 10.1016/0026-2714(85)90438-x
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A new algorithm for network system reliability

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Cited by 5 publications
(1 citation statement)
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“…Redundancy optimization problems can be divided into three classes: dynamic programming, integer programming, and heuristic methods. Several heuristic algorithms (Shi [3], Sharma and Venkateswaran [4], Aggarwal et al [5], Aggarwal [6], Nakagawa and Nakashima [7], Gopal et al [8,9], Chen et al [10], Sharma and Misra [11], Prasad et al [12], and Coolen-Schrijner et al [13]) have been developed for redundancy reliability optimization problems which search for the solutions only in feasible regions. The heuristic method given by Nakagawa and Nakashima [7] obtains the solution by repeatedly applying a redundant component at a stage that has the greatest value of a 'weighted sensitivity function'.…”
Section: Introductionmentioning
confidence: 99%
“…Redundancy optimization problems can be divided into three classes: dynamic programming, integer programming, and heuristic methods. Several heuristic algorithms (Shi [3], Sharma and Venkateswaran [4], Aggarwal et al [5], Aggarwal [6], Nakagawa and Nakashima [7], Gopal et al [8,9], Chen et al [10], Sharma and Misra [11], Prasad et al [12], and Coolen-Schrijner et al [13]) have been developed for redundancy reliability optimization problems which search for the solutions only in feasible regions. The heuristic method given by Nakagawa and Nakashima [7] obtains the solution by repeatedly applying a redundant component at a stage that has the greatest value of a 'weighted sensitivity function'.…”
Section: Introductionmentioning
confidence: 99%