Research on Nonlinear Optimization Problem Based on Genetic Algorithm Theory

For weapon systems, such as aircrafts and missiles, it is difficult for reliability evaluation method with maximum entropy to solve the parameters and nonlinear optimization problem. A method is proposed based on genetic algorithm theory, the solution process is planned, and the responding programmer is designed. Finally, combined with an example, a weapon system is analyzed. At the same time, the model is established and parameters are calculated with data. The result shows that the method is effective for the nonlinear optimization problem, and offers lessons for solution of other nonlinear optimization problems.