飞机地面压力加油系统的优化性能分析

Analysis of Optimization for Aircraft Pressure Refuel System on the Ground

针对传统遗传算法和退火单纯形法 ,提出了一种基于邻域函数的尺度参数自寻优和多操作的基于概率接受思想的变异操作及竞争生存的种群数量控制策略的高级遗传退火算法。基于飞机地面压力加油系统节流孔优化配置的数值仿真研究验证了本文的算法对高维复杂函数最优化的高效性 ,其性能明显优于传统遗传算法、退火单纯形法 ,极大提高了加油管路节流孔优化配置的效率。

Aimed to traditional genetic algorithms and simulated annealing & simplex method, this paper proposes an improved simulated annealing with neighbor function based on self-optimization of scale parameter. Furthermore, with multi-operator mutations based on probabilistic acceptance, combing the improved annealing into genetic algorithm, an refine genetic- annealing algorithms is proposed. Numerical simulation results based on aircraft pressure refuel system on the ground demonstrate the efficiency of the proposed algorithms applied to high-dimensional complex functions, whose performances are quite better than GA and SMSA. This improves the effectiveness of optimum configuration of refuel pipeline orifices greatly.