摘要
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。
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 .
出处
《装备学院学报》
2013年第5期63-68,共6页
Journal of Equipment Academy
基金
国家自然科学基金资助项目(71271213)
关键词
高空飞艇
任务规划
混合粒子群优化
约束满足
high-altitude airship
task scheduling
hybrid particle swarm optimization（HPSO）
constraint satisfaction
