Volume 32 Issue 2
Mar.  2012
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FU Xiaofeng, WU Meiping, ZHANG Jing. Orbit Design for Responsive Space Using Multiple-objective Evolutionary Computation[J]. Journal of Space Science, 2012, 32(2): 238-244. doi: 10.11728/cjss2012.02.238
Citation: FU Xiaofeng, WU Meiping, ZHANG Jing. Orbit Design for Responsive Space Using Multiple-objective Evolutionary Computation[J]. Journal of Space Science, 2012, 32(2): 238-244. doi: 10.11728/cjss2012.02.238

Orbit Design for Responsive Space Using Multiple-objective Evolutionary Computation

doi: 10.11728/cjss2012.02.238
  • Received Date: 2011-01-23
  • Rev Recd Date: 2011-10-07
  • Publish Date: 2012-03-15
  • 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 Algorithm Ⅱ (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 NSGAⅡ 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 NSGAⅡ promotes the responsive orbit design further.

     

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