The Use of a Genetic Algorithm for Parameter Adjustment of the Multi-Hypothesis Aircraft Tracking Algorithm

Abstract

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.