CAJ | 학술논문

针对高空飞艇成像任务规划问题进行研究，分析了高空飞艇遂行对地观测活动所需满足的主要约束，建立了以最大化任务收益为优化目标的约束满足模型。采用基于分层优化的求解框架，将原问题分解为主问题和子问题，并分别设计了求解算法。随后在仿真实验中，通过与经典调度算法对比，验证了该算法的优化效果。
침대고공비정성상임무규화문제진행연구，분석료고공비정수행대지관측활동소수만족적주요약속，건립료이최대화임무수익위우화목표적약속만족모형。채용기우분층우화적구해광가，장원문제분해위주문제화자문제，병분별설계료구해산법。수후재방진실험중，통과여경전조도산법대비，험증료해산법적우화효과。
Focused on the imaging tasks scheduling problem of high-altitude airship , the main constraints of observing actives are analyzed ,and the constraint satisfaction model is established by taking maximum guarantee ration as an optimization objective .This scheduling problem is converted into a main problem and a sub-problem by adopting hierarchy architecture and the solution algorithms are designed respectively .Then ,the optimum effects of the proposed algorithms are verified by com-paring the scheduling results with the classic algorithms in simulation experiments .