摘要
对于实际的问题而言,人们对于问题的解一般会有一个初步认识,并且这种认识会在搜索过程中逐渐加深或得到修正,这符合人们认识世界的普遍规律。基于这种认识,针对给出的飞机地面压力加油系统管路模型,使用一种基于Bayes方法的优化算法。数值方针结果表明,与其它相关优化算法相比,该算法能更高效地解决飞机地面压力加油管路节流孔的优化配置问题。
In practical problems, we usually have initial understanding to problems, and this understanding gets deeper and corrected in the search process.This is consistent with the general law of human being recognition.Based on this concept, according to the given aircraft ground pressure refuel system pipeline model, the author proposed an optimization algorithm based on Bayes method. Numerical simulation results show that this algorithm, in contrast to other relative optimization algorithms, can solve the problem of the optimum configuration of aircraft pressure refuel pipeline orifices with great effectiveness.
出处
《航空计算技术》
2002年第4期30-33,共4页
Aeronautical Computing Technique
基金
空装科研部科研基金资助(KJ99072)
