The precision performance of gas turbine was obtained by synthetically using an improved genetic algorithm and adaptive modeling techniques.Adaptive mechanisms were also added to optimize the crossover and mutation operators

and simulated annealing was also imported.The improved genetic algorithm can approach the optimal solution quickly

and trip out the trap of locally optimal solution.It can insure the solution quality and improve the convergence speed.Considering that previous studies did not take into account the problems that the objective function was impacted by some measuring parameters which had linear correlation and sensor accuracy class

a more maturity adaptive model was established by using the weighted method

and the algorithm was used to search the precision performance.The results show that the improved GA-based performance adaptation method is more robust.