摘要
将一款收敛性能优越的多目标优化算法IBEA应用到低轨区域覆盖星座优化设计中,并利用STK对优化出的星座方案进行了仿真验证。结果表明IBEA对于求解低轨区域覆盖星座的优化设计问题是有效的,它可以优化出覆盖性能良好的星座方案。
Indicator based evolutionary algorithm （IBEA） is a multi - objective optimism algorithm with outstanding performance in convergence. In this thesis we apply IBEA to the optimisation of designing LEO regional coverage of satellite constellation. STK is used to verify the optimised constellation scheme by simulations. The results show that IBEA is valid for the optimization of designing LOE regional coverage of satellite constellation and can obtain the optimised Constellation scheme with perfect coverage performance.
出处
《计算机应用与软件》
CSCD
2010年第3期15-17,共3页
Computer Applications and Software
基金
国家自然科学基金项目(60873107)
关键词
基于指标的进化算法
星座
区域覆盖
优化
Indicator based evolutionary algorithm Satellite constellation Regional coverage Optimization
