计算机应用与软件2017，Vol.34Issue(6)：242-249,8.DOI:10.3969/j.issn.1000-386x.2017.06.044
复杂约束条件下卫星观测多目标获取优化算法
MULTI-OBJECTIVE ACQUISITION OPTIMIZATION ALGORITHM FOR SATELLITE OBSERVATION UNDER COMPLICATED CONSTRAINTS
摘要
Abstract
Under the condition of complex constraints, satellite of multi-objective acquisition efficiency becomes the hot issue in the field of satellite observational studies.In this paper, a multi-objective acquisition optimization algorithm based on greedy method is proposed under practical and complex constraints.The method is based on sensor constraint model to visually screen multi-objective.Then, the method which based on satellite side swing constraint model can get accessible incompatible target set for the visual object classification.Finally, this method uses energy constraint model of greedy optimization algorithm to obtain the optimal target access path.The experimental results show that the actual complex constraint conditions, this algorithm can get more targets under the condition of minimum energy consumption and this algorithm''s efficiency is better than ant colony algorithm and genetic algorithm.关键词
复杂约束/贪婪方法/多目标获取/互斥目标集合/访问路径Key words
Complex constraint/Greedy method/Multi-objective acquisition/Incompatible goals set/Access path分类
信息技术与安全科学引用本文复制引用
章登义,张传功,蔡波..复杂约束条件下卫星观测多目标获取优化算法[J].计算机应用与软件,2017,34(6):242-249,8.基金项目
国家自然科学基金项目(41301409) （41301409）
国家科技支撑计划项目(2012BAH35B02). （2012BAH35B02）
