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体系对抗已成为当今战争的主要形式,因而急需对体系优化问题进行深入细致地研究.鉴于此,提出了一种基于正交遗传算法和灵敏度分析的体系仿真优化方法.该方法采用正交遗传算法在可行域内快速地搜索一些较优方案(解);利用灵敏度分析方法从已评估方案中得到待研究体系输入、输出之间的灵敏度关系;应用这种灵敏度关系来指导正交遗传算法的后续搜索.最后采用一些数据实例来验证该方法,实验结果表明,该方法是可行的、正确的和有效的.该方法能在较少次数的仿真后,得到待研究体系的满意解或最优解;同时,该方法可推广到其它复杂优化问题的求解中.
System confrontation has become the main form of the current war, so it is urgent to study the system optimization in detail.According to this, a system simulation optimization method based on orthogonal genetic algorithm and sensitivity analysis is proposed.This method uses orthogonal genetic algorithm In the feasible region, some good solutions (solution) are searched quickly; the sensitivity relationship between the input and the output of the system to be studied is obtained from the evaluated scheme by the method of sensitivity analysis; and the sensitivity relationship is used to guide the subsequent search of the orthogonal genetic algorithm Finally, some data examples are used to validate the method, and the experimental results show that the method is feasible, correct and effective.This method can obtain the satisfactory solution or the optimal solution of the system to be studied after a few times of simulation. At the same time, this method can be generalized to other complex optimization problems.