Data Mining of Pareto-Optimal Solutions of a Solar Observatory Trajectory Design Problem
Data Mining of Pareto-Optimal Solutions of a Solar Observatory Trajectory Design Problem
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DOI：
10.2514/6.2012-2442
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发表时间：
2012-06
期刊：
影响因子：
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通讯作者：
A. Oyama;Y. Kawakatsu;Kazuko Hagiwara
中科院分区：
文献类型：
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作者：
A. Oyama;Y. Kawakatsu;Kazuko Hagiwara
多目标设计探索（MODE）框架被用来获得有用的知识，从帕累托最优解的太阳观测轨道设计问题。将弹道设计优化问题定义为一个多目标设计优化问题，并采用多目标进化计算进行求解。在所有的设计目标中，发现了许多优于标称设计的设计，所得到的Pareto最优解体现了设计目标之间的折衷。一些数据挖掘方法应用到数据库中获得的帕累托最优设计，并显示有用的设计信息，如设计参数的灵敏度的设计目标。研究结果表明，MODE方法是一种有效的弹道优化设计方法。
Multiobjective design exploration (MODE) framework is used to obtain useful knowledge from the Pareto-optimal solutions of a Solar observatory trajectory design problem. The trajectory design optimization problem is defined as a multiobjective design optimization problem and solved with a multiobjective evolutionary computation. Many designs that are better than the nominal design in all design objectives are found. The obtained Pareto-optimal solutions visualize tradeoff between the design objectives. Some data mining approaches are applied to the database of the obtained Pareto-optimal designs and show useful design information such as sensitivity of the design parameters to the design objectives. The present results shows MODE approach is useful for trajectory design optimization problems.