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.
Nonlinear optimization Genetic algorithm theory Maximum entropy method
Qi Dong Tingxue Xu Jikun Yang Zhiheng Zhou
Department of Graduate Students’ Brigade, NAAU, Yantai 264001, Shandong, China Department of Ordnance Science and Technology, NAAU, Yantai 264001, Shandong, China
国际会议
西安
英文
527-534
2013-11-25（万方平台首次上网日期，不代表论文的发表时间）