利用遗传算法对多假设飞机跟踪算法进行参数调整

D. Bedin, A. Ivanov
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引用次数: 3

摘要

在之前的研究中,我们开发了一种针对飞机跟踪的多假设算法,该算法在处理真实数据和模型数据方面表现出良好的性能。算法的运行依赖于大量的参数。有些参数对结果的影响很难检测出来。在这种情况下,使用遗传算法来调整参数是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Use of a Genetic Algorithm for Parameter Adjustment of the Multi-Hypothesis Aircraft Tracking Algorithm
In previous studies, we developed a multi-hypothesis algorithm for the aircraft tracking, which shows good performance in the processing of real and model data. The algorithm operation depends on a large number of parameters. It is quite difficult to detect the influence of some parameters on the results. In this situation, it is justified to use a genetic algorithm to adjust the parameters.
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