摘要
主要研究复杂地形环境下伪卫星的选址问题,通过对各种算法的研究比较,最终采用基于罚函数的排挤小生境遗传算法。对于其中适应度函数的设置,设计了一种加权矩阵的方法,将多个限制因素设计成多个矩阵相乘的形式作为目标函数,这样不仅提高了程序的可扩展性,而且增加了程序的可读性。经仿真验证,该方法不仅具有良好的通用性和运算效率,还能能够提供优化的伪卫星选址方案。
To solve the problem of distribution of pseudolite in complex terrain, after researching in different improved algorithm of genetic algorithm,crowding niche genetic algorithm based on penalty function shows the best efforts. As for the set of fitness function, this paper designs a method of weighting matrix, multiplying multi-limiting-factors as objective function. It not only improves the extendibility but also enhances the readability of the process. Simulation experimentation results show that this method not only has good generality and computational efficiency,but also could provide better scheme of pseudolite distribution.
出处
《电子测量技术》
2012年第10期55-58,共4页
Electronic Measurement Technology
基金
国家科技支撑计划项目(2011BAH05)
关键词
小生境算法
伪卫星
数字高程模型
niche genetic algorithm（NGA）
pseudolite
digital elevation model（DEM）
