Abstract: Aimingatsolvingtheproblemofautonomoustaskschedulingofearthobservingsatelliteswiththeabilityofswinging,satelliteautonomoustaskschedulingproblemandconstraintsweredescribed.Asingle-objectivemulti-constraintsmodelwasbuiltaccordingtotheNP-hardcharacterofsatelliteautonomoustaskschedulingproblem.Anadaptedgeneticalgorithmwasdesigned.Allofthegeneticoperationsofgeneticalgorithmswereoptimized.Firstly,mini-regionmethodwasappliedtogenerateoftheoriginalpopulationtoensurethediversityofpopulation.Adaptiveprobabilitieswereusedforcrossoverandmutationoperation.Twogenerationscompetitivetechnologywasusedtoavoidtheprematureandimprovetheefficiencyandtherobustnessofthealgorithm.Thealgorithmalsousestheoptimizationreservedstrategytopreservetheoptimalsolution,whichmakesthealgorithmconvergetotheglobal.Theadaptedgeneticalgorithmwasappliedtothelocalmulti-conflicttasksobservationanddesignedsimulationexperimentsoftheobservationofregionaldensetargets.Theresultsarecomparedwithresultsofsimulatedannealingalgorithmandimmuneantcolonygeneticalgorithm,anditshowsthattheproposedalgorithmismoreeffectiveandithasabetterconvergence.

Key words: Earthobservationsatellite, satelliteswingingangle, autonomoustaskscheduling, modeling, adaptedgeneticalgorithm, adaptiveprobability