The GA and multi-objective optimization approach is flexible in application and extremely reliable, providing optimal results for all optimization problems attempted. Aircraft engine maintenance using nonlinear analyses. This considerably slows the entire production and maintenance process. There are three approaches for this purpose. GA with a gradient-based method to improve quality enhancements and moderate convergence efficiency; the multi-objective framework will integrate the analysis codes for multiple disciplines, instead of relying on one code to perform the analysis for all disciplines; using optimize a multi-objective model by implementation of GA instead the computationally expensive functions. Results indicate that is to provide a capability to yield a better production and maintenance in much reduced time and cost.