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Orbit Design for Responsive Space Using Multiple-objective Evolutionary Computation
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作者 FU Xiaofeng WU Meiping ZHANG Jing 《空间科学学报》 CAS CSCD 北大核心 2012年第2期238-244,共7页
Responsive orbits have exhibited advantages in emergencies for their excellent responsiveness and coverage to targets.Generally,there are several conflicting metrics to trade in the orbit design for responsive space.A... Responsive orbits have exhibited advantages in emergencies for their excellent responsiveness and coverage to targets.Generally,there are several conflicting metrics to trade in the orbit design for responsive space.A special multiple-objective genetic algorithm,namely the Nondominated Sorting Genetic AlgorithmⅡ(NSGAⅡ),is used to design responsive orbits.This algorithm has considered the conflicting metrics of orbits to achieve the optimal solution,including the orbital elements and launch programs of responsive vehicles.Low-Earth fast access orbits and low-Earth repeat coverage orbits,two subtypes of responsive orbits,can be designed using NSGAI under given metric tradeoffs,number of vehicles,and launch mode.By selecting the optimal solution from the obtained Pareto fronts,a designer can process the metric tradeoffs conveniently in orbit design.Recurring to the flexibility of the algorithm,the NSGAI promotes the responsive orbit design further. 展开更多
关键词 Multiple-objective evolutionary computation Non-dominated Sorting Genetic AlgorithmⅡ(NSGAⅡ) Low-Earth Fast Access Orbit(FAO) Low-Earth Repeat Coverage Orbit(RCO) Successive-coverage constellation for responsive deployment
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