Navigability analysis of magnetic map with projecting pursuit-based selection method by using firefly algorithm
Article
Ma, Y., Zhao, Y., Wu, L., He, Y. and Yang, X. 2015. Navigability analysis of magnetic map with projecting pursuit-based selection method by using firefly algorithm. Neurocomputing. 159, pp. 288-297. https://doi.org/10.1016/j.neucom.2015.01.028
Type | Article |
---|---|
Title | Navigability analysis of magnetic map with projecting pursuit-based selection method by using firefly algorithm |
Authors | Ma, Y., Zhao, Y., Wu, L., He, Y. and Yang, X. |
Abstract | The performance of geomagnetic aided navigation is closely related to the selection of geomagnetic matching area. This paper mainly studies the selection method of multi-parameter geomagnetic matching area based on the projection pursuit model, and then adopts the firefly algorithm, particle swarm optimization algorithm and differential evolution algorithm to obtain the optimal projection direction. After that, we compare the optimizing results comprehensively and give the evaluation of navigation performance in geomagnetic matching area to provide the basis for the selection of matching area. The implementation results show that when there are large differences between the characteristic parameters, the computation efficiency of firefly algorithm performs significantly better than the other two optimization algorithms. And under the same experimental conditions, the optimal geomagnetic matching area obtained by the method presented in this paper has the minimum matching position error and optimal navigation performance. |
Keywords | Navigability analysis; Geomagnetic aided navigation; Projecting pursuit-based selection method; Firefly algorithm |
Publisher | Elsevier |
Journal | Neurocomputing |
ISSN | 0925-2312 |
Electronic | 1872-8286 |
Publication dates | |
07 Jul 2015 | |
Publication process dates | |
Deposited | 30 Apr 2015 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.neucom.2015.01.028 |
Web of Science identifier | WOS:000353094600033 |
Language | English |
https://repository.mdx.ac.uk/item/85362
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