Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: EOSs (Earth Observing Satellites) circle the earth to take shotswhich are requested by customers. To make replete use of resourcesof EOSs, it is required to deal with the problem of united imagingscheduling of EOSs in a given scheduling horizon, which is acomplicated multi-objective combinatorial optimization problem. Inthis paper,  construct a mathematical model for the problem byabstracting imaging constraints of different EOSs. Then  propose anovel multi-objective EOSs imaging scheduling method, which is basedon the Strength Pareto Evolutionary Algorithm 2. The specialencoding technique and imaging constraint control are applied toguarantee feasibility of solutions. The approach is tested upon fourreal application problems of CBERS EOSs series. From the results, itis confirmed that the proposed approach is effective in solvingmulti-objective EOSs imaging scheduling problems.
['Jun Wang', 'Ning Jing', 'Jun Li', 'Zhong Hui Chen']
I am writing a research paper on a idea A multi-objective imaging scheduling approach for earth observing satellites
[{"from": "human", "value": "I am writing a research paper on a idea A multi-objective imaging scheduling approach for earth observing satellites"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: EOSs (Earth Observing Satellites) circle the earth to take shotswhich are requested by customers. To make replete use of resourcesof EOSs, it is required to deal with the problem of united imagingscheduling of EOSs in a given scheduling horizon, which is acomplicated multi-objective combinatorial optimization problem. Inthis paper,  construct a mathematical model for the problem byabstracting imaging constraints of different EOSs. Then  propose anovel multi-objective EOSs imaging scheduling method, which is basedon the Strength Pareto Evolutionary Algorithm 2. The specialencoding technique and imaging constraint control are applied toguarantee feasibility of solutions. The approach is tested upon fourreal application problems of CBERS EOSs series. From the results, itis confirmed that the proposed approach is effective in solvingmulti-objective EOSs imaging scheduling problems."}]