高空长航时无人机优化设计

采用实数编码、过滤和交叉限制机制、改进的惩罚机制，改进了标准遗传算法，建立了多目标遗传算法，使之可以克服标准遗传算法的缺陷，并将其应用于高空长航时无人机的优化设计中，以空机重量和最大升阻比为性能目标，得到了优化问题得Pareto解。结果表明，高空长航时无人机优化后的总体性能得到改善，说明该方法适用于高空长航时无人机总体方案的优化设计，对方案研究有一定参考价值。

Optimization Designing for HALE UAV

Through adopting the real number coding, simple genetic algorithms to multi -objective genetic algorithms is improved so that making the multi - objective genetic algorithms can overcome the vice of simple genetic algorithms, and the multi - objective genetic algorithms are applied in the optimization for parameters of HALE UAV. In the optimization question, the empty weight of UAV and the max ratio of lift to drag are as the performance objects, and the Pareto front is gotten. The conclusion can explain that the performance of HALE UAV is better than before after the optimal design and this method are fit for optimal design of HALE UAV and Multi - objective Genetic algorithm optimal design has some reference value for the research of the project of the HALE UAV.