基于selfGDE3算法的低轨预警系统优化设计方法

Optimization Designing Method of Early Warning System of LEO Based on SelfGDE3

为有效解决低轨预警系统多目标优化设计的问题,研究并提出了一种自适应控制参数通用差异演化算法,建立了低轨预警系统优化设计的空间覆盖模型、定位精度模型和星座成本模型,根据自适应控制参数通用差异演化算法的优化流程,建立了系统优化目标函数,并对优化中的离散变量等特殊情况进行了处理,最后在特定的约束和仿真参数下得出低轨预警系统星座方案,通过仿真验证了方法的有效性。

To deal with the multi-o ective optimization problem of early warning system of low earth orbit（LEO） efficiently, the generalized differential evolution algorithm selfcontrolled （selfGDE3） is stud- ied, and the optimization models of early warning system of LEO is set up, which involves space cover- age, location and constellation cost models. According to the optimization designing process of selfGDE3, the optimized objective function is established, the special problem, such as discrete variable in optimiza- tion, is solved. Finally, the elementary constellation solutions are gained based on selfGDE3 in the given restriction and simulation parameter, the availability of the optimization designing method optimization de- signing method of early warning system based on selfGDE3 is validated by simulation experiment results.