Analysis of Genetic Algorithm on Bearings-Only Target Motion Analysis
January 15, 2020 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Erdem Kose
arXiv ID
2001.05381
Category
cs.NE: Neural & Evolutionary
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Target motion analysis using only bearing angles is an important study for tracking targets in water. Several methods including Kalman-like filters and evolutionary strategies are used to get a good predictor. Kalman-like filters couldn't get the expected results thus evolutionary strategies have been using in this area for a long time. Target Motion Analysis with Genetic Algorithm is the most successful method for Bearings-Only Target Motion Analysis and we investigated it. We found that Covariance Matrix Adaptation Evolutionary Strategies does the similar work with Target Motion Analysis with Genetic Algorithm and tried it; but it has statistical feedback mechanism and converges faster than other methods. In this study, we compared and criticize the methods.
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