无线电工程 Radio Engineering ISSN 1003-3106,CN 13-1097/TN
ased on Genetic Tabu Algorithm ZHANG Zehua, ZHANG Jiayou, ZHANG Jiakai, MA Songjing, LI Yuzhe (College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, China) Abstract: In order to reasonably and efficiently utilize the increasing satellite resources and complete the Earth observation mission with high quality and quantity, a multi-satellite collaborative mission planning method based on genetic tabu algorithm is proposed to solve the multi-satellite collaborative mission planning problem. First, a multi-satellite collaborative mission planning problem model is established, and an objective function is designed that comprehensively considers the total mission revenue value, the total completion degree, and the total roll angle of satellite resources. Secondly, with the strong global optimization ability of genetic algorithm and the strong local optimization ability of tabu search algorithm taken into account, a multi-satellite collaborative mission planning algorithm including two stages of genetic search and tabu search is designed. Finally, simulation scenarios
