Mission Planning for Agile Earth Observation Satellites Based on Hybrid Genetic Algorithm

For a new generation of earth observation Agile satellite mission planning problems,the characteristics of agile earth observation satellites(AEOS) is studied,and built multi-objective mission planning model on the analysis of its work mode and the process of observation earth targets.Hybrid genetic algorithm was proposed for mission planning problems of AEOS which were multi-constraint,multi-conflict,non-linear NP-hard problems.This algorithm combined of ant colony algorithm and immune genetic algorithm,which was to take the solutions generated by ant colony algorithm as the initial population of immune genetic algorithm,and global optimal solution of ant colony algorithm as a vaccine.Simulation results show that this algorithm had higher accuracy and faster convergence than the genetic algorithm and immune genetic algorithm.