The paper integrates dynamic programming and simulated annealing to optimize replacement policies for dependent multi-component systems and reports better performance than a fixed-limit method in two examples.
The probability distribution of maintenance cost of a system affected by the gamma process of degradation: Finite time solution
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Replacement Policy of Systems with Dependent Components via Integration of Dynamic Programming and Simulated Annealing
The paper integrates dynamic programming and simulated annealing to optimize replacement policies for dependent multi-component systems and reports better performance than a fixed-limit method in two examples.