兵工自动化2025，Vol.44Issue(3)：13-19,7.DOI:10.7690/bgzdh.2025.03.004
基于混合免疫遗传算法的多类型成像卫星任务规划
Mission Planning of Multi-type Imaging Satellites Based on Hybrid Immune Genetic Algorithm
摘要
Abstract
Aiming at the problem of mission planning in the field of satellite application,a mission planning model for multi-type imaging satellites is constructed,and a hybrid immune genetic algorithm(HIGA)is proposed to solve the model.An encoding and decoding strategy is designed according to the characteristics of multi-type imaging satellite task planning,an adaptive mechanism and a tabu search idea are introduced,and a selection strategy based on antibody concentration and fitness and a new vaccination operation are defined.The simulation results show that the proposed algorithm can solve the problem of multi-type satellite mission planning,and effectively improve the problems of immune genetic algorithm,such as premature convergence and falling into local optimum.Compared with the comparative algorithm,the proposed algorithm can achieve faster convergence speed and better planning results,and can also achieve better planning results when planning large-scale missions.关键词
多类型成像卫星/任务规划/免疫遗传/智能优化算法Key words
multi-type imaging satellite/mission planning/immune genetic algorithm/intelligent optimization algorithm分类
天文学引用本文复制引用
杨阳,刘德生,常青..基于混合免疫遗传算法的多类型成像卫星任务规划[J].兵工自动化,2025,44(3):13-19,7.基金项目
国防科技重点实验室基金(614201001032202) （614201001032202）
