Efficient and Accurate Evolutionary Multi-Objective Optimization Paradigms for Satellite Constellation Design

2007 ◽  
Vol 44 (3) ◽  
pp. 682-691 ◽  
Author(s):  
Matthew P. Ferringer ◽  
Ronald S. Clifton ◽  
Timothy G. Thompson
Author(s):  
Boyong He ◽  
Jing Cao ◽  
Qingrui Zhou ◽  
Jianguo Wang

As the demand for comprehensiveness, accuracy, and data fast return of satellite remote sensing information grows, a hybrid constellation with permanent inter-satellite link becomes an inevitable choice for earth cooperative observation. The models for the objective function for global coverage, regional revisit detained survey duration, spatial resolution, inter-satellite links, and the cost of constellation deployment are established firstly, and the constraints like the ground trace repeating are dealt skillfully. The layered multi-objective optimization frame is designed for solving this problem. The example explains that present models distribute the multiple objective functions and constraints, and the result Pareto solution set can show several performance features of the hybrid satellite constellation, it may support the satellite constellation engineering argumentation and selection on merit.


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