摘要
建立了无人作战飞机任务规划问题的数学模型,提出了分层递阶的任务规划系统结构.针对任务规划的核心资源调度问题,设计了基于遗传算法的动态资源调度算法,有效地解决了多无人作战飞机的资源调度问题.计算结果表明了算法的有效性.
For the problem of mission planning for multi uninhabited combat aerial vehicles (UCAV), a mathematic model is built and a hierarchical architecture of UCAV mission planning system is presented. As the key part of mission planning, the resource scheduling problem is discussed in detail and a resource scheduling algorithm based on genetic algorithm is designed. The calculation result shows the effectiveness of the algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第11期1308-1311,共4页
Control and Decision
基金
国家自然科学基金重点项目(90205011)
航空科技联合基金资助项目(1037701).
关键词
任务规划
资源调度
遗传算法
Convergence of numerical methods
Genetic algorithms
Global optimization
Mathematical models
Strategic planning
Unmanned vehicles