Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm

被引：0
|
作者：
John W. Hartmann
Victoria L. Coverstone-Carroll
Steven N. Williams
机构：
[1] University of Illinois at Urbana-Champaign,Jet Propulsion Laboratory
[2] California Institute of Technology,undefined
来源：
The Journal of the Astronautical Sciences | 1998年 / 46卷 / 3期
关键词：
D O I：
10.1007/BF03546237
中图分类号：
学科分类号：
摘要：
A Pareto genetic algorithm is applied to the optimization of low-thrust interplanetary spacecraft trajectories. A multiobjective, nondominated sorting genetic algorithm is developed following existing methodologies. A hybridized scheme is designed integrating the nondominated sorting genetic algorithm with a calculus-of-variations-based trajectory optimization algorithm. “Families” of Pareto optimal trajectories are generated for the cases of Earth-Mars flyby and rendezvous trajectories. A novel trajectory type generated by the genetic algorithm is expanded to develop a series of versatile, high-performance Earth-Mars rendezvous trajectories.
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页码：267 / 282
页数：15
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