Optimization of G-O Reliability Model Using TLBO Algorithm

摘要

The Statistical Process Control (SPC) is the best decision in the direction of screen programming firm quality process. It helps the product advancement group to distinguish the moves to be made amid programming disappointment process and subsequently guarantees better programming dependability. In this undertaking, we propose a control instrument in view of the total perceptions of the disappointments which are ungrouped information utilizing an endless disappointment mean esteem work. Goel-Okumoto model show, otherwise, Poisson process based. Most extreme Teaching-Learning-Based Optimization technique (TLBO) approach is used to survey the dark parameters of the model.