Nowadays, the Structural Healthcare Application (SHA) methodology is the principal method for improving the exploration and identifiable evidence of harm in the most diverse design aspects. There is a need to control architectural activity is growing every day even as innovative technologies emerge and progressively difficult frameworks. This contributes to the creation of SHA strategies and methods which are significantly stable and sensible. Optimization in basic arithmetic and computer engineering is the consideration for a particular reason for the strongest component of an established set. For other issues, various forms of optimization were used to reduce operational costs and increase income. Given the significant prospect of implementation, the techniques described here are primarily expanded by analyzing electromagnetic and modulation results. This study explores the usage of optimization algorithms and Machine Learning in the specific case of a short analysis of operational control. This study should be considered as the initial stage for designing SHA frameworks and analyzing results. The scope of this study is developed to help researchers and scientists find a suitable solution to their particular issues in structural control.