Optimal control of fault tolerant machining system with reboot and recovery in fuzzy environment using harmony search algorithm.

In this study, fuzzy modeling and service control based on optimal N-policy for fault tolerance system have been investigated. The impacts of failures and recovery along with the reboot process are taken into account for the assessment of performance indices of the system operating under redundancy and provision of maintainability. The non-Markovian M/G/1 model of the fault-tolerant system with vacationing server is developed by using the supplementary variable to represent the remaining time to repair and further employing recursive approach. The parametric non-linear programming is used to derive fuzzy performance metrics. The sensitiveness of parameters concerning system indices is done. The cost function is framed to obtain the optimal descriptors and minimal cost using harmony search.