基于混合遗传算法的冲压发动机导弹总体参数优化

Ramjet Powered Missile Overall Parameter Optimization Based on Hybrid Adaptive Genetic Algorithm

为提高冲压发动机导弹的总体设计性能,应对其总体参数进行优化。经典的优化算法在求解该问题时存在对初值敏感、局部收敛等问题。提出了一种基于混合遗传算法的导弹总体参数优化设计方法,将自适应遗传算法的全局搜索能力与Powell算法的强局部寻优能力有机结合起来。以起飞质量最小为目标函数,飞行性能为约束,应用该算法对导弹总体参数进行了优化设计。仿真结果表明,该算法避免了初值猜测、局部收敛和病态矩阵等问题,能够快速地搜索到全局最优,优化后起飞质量比原方案减少6.9%。所提出的混合遗传算法可有效地应用于导弹总体参数优化。

The overall parameters were optimized in order to improve overall design performance for a ramjet powered missile.Classical optimization algorithms were sensitive to the initial,had local convergence characteristic.Combined adaptive genetic algorithm with Powell algorithm,a ramjet powered missile overall parameter optimization design method was proposed based on hybrid genetic algorithm.With the performance index of minimizing takeoff mass,flight performance as a constraint,overall parameters of the missile was optimized using AGA-Powell algorithm.Simulation results show that the algorithm avoids the initial value guess,local convergence and ill-condition matrix,and can search the global optimum quickly.The takeoff mass decreased 6.9％ compared with the original program.The proposed hybrid genetic algorithm can be effectively applied to the overall missile parameter optimization.