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首页> 外文期刊>Journal of Global Optimization >Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories
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Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories

机译:多种重力辅助航天器轨迹的搜索空间修剪和全局优化

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摘要

We introduce and describe the Multiple Gravity Assist problem, a global optimisation problem that is of great interest in the design of spacecraft and their trajectories. We discuss its formalization and we show, in one particular problem instance, the performance of selected state of the art heuristic global optimisation algorithms. A deterministic search space pruning algorithm is then developed and its polynomial time and space complexity derived. The algorithm is shown to achieve search space reductions of greater than six orders of magnitude, thus reducing significantly the complexity of the subsequent optimisation.
机译:我们介绍并描述了多重重力辅助问题,这是一个全局优化问题,在航天器及其轨迹的设计中引起了极大的兴趣。我们讨论了它的形式化,并在一个特定的问题实例中展示了选定的最新启发式全局优化算法的性能。然后开发确定性搜索空间修剪算法,并推导其多项式时间和空间复杂度。示出该算法实现了大于六个数量级的搜索空间减小,从而显着减小了后续优化的复杂性。

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