CAJ | 학술논문

针对具有复杂耦合关系的试飞任务难以进行全局优化的问题，提出了一种计算机辅助任务优化方法，该方法将复杂的试飞任务优化问题分解为多项串联问题，然后采用启发式算法(A*算法)和遗传算法相结合的混合遗传算法获得试飞任务单的较优组合，并以此为基础实现对试飞任务进行全局优化。工程应用表明，通过使用该方法获得的试飞任务优化结果置信度高，可有效缩短飞行试验任务周期和降低试验成本。
침대구유복잡우합관계적시비임무난이진행전국우화적문제，제출료일충계산궤보조임무우화방법，해방법장복잡적시비임무우화문제분해위다항천련문제，연후채용계발식산법(A*산법)화유전산법상결합적혼합유전산법획득시비임무단적교우조합，병이차위기출실현대시비임무진행전국우화。공정응용표명，통과사용해방법획득적시비임무우화결과치신도고，가유효축단비행시험임무주기화강저시험성본。
We present an optimization method with computer assistant on dealing with difficulties in overview opti-mization for flight test task with complex coupling relationship. The method divided complex work into a series of simple items, and took up A start algorithm and genetic algorithm to achieve the target of overview flight test optimi-zation. The application results show that it can ensure getting satisfaction of flight test card and reduce flight test task period and test cost effectively.