The invention is applied to the field of
satellite constellation design, and particularly discloses a regional
remote sensing satellite constellation optimization method based on an improved
crayfish algorithm, which comprises the following steps: S1, selecting an
orbit observed in a specific region, the
orbit needing to meet the average revisit time and the task requirement; the number of satellites meets the task requirement, the
orbit height meets the task requirement, and the
remote sensing constellation design objective function is S2: mathematical optimization model, and the orbit
control parameters of the
satellite constellation can be determined according to the six elements of the
satellite orbit. According to the regional
remote sensing satellite constellation optimization method based on the improved
crayfish algorithm, a
population initialization improvement strategy and a
refraction reverse learning strategy are set, the convergence speed and optimization precision of the
algorithm are improved, initial initialization classification is performed on a
population through the
population initialization improvement strategy, solution individuals are uniformly distributed, and the optimization efficiency is improved. The subsequent initial optimization efficiency of the population is improved, a reverse learning strategy is refracted, the search range of the algorithm is expanded, and the accuracy of the method is improved.