A geomagnetic positioning method with Adaptive Genetic Algorithm

A geomagnetic positioning method with Adaptive Genetic Algorithm

Geomagnetism Aided Navigation (GAN) is one of the most important methods to control the error in the INS. An Adaptive Genetic Algorithm applied in geomagnetic marching is proposed in this paper. By adjusting the Crossover Probability and Mutation Probability adaptively according to the value of fitn...

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Hauptverfasser: Wang Changhong, Liu Rui, Li Baohua, Kou Yimin
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Sprache:eng
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Adaptation model
Correlation
Gallium
Genetic algorithms
Navigation
Real time systems
Simulation
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Liu Rui
Li Baohua
Kou Yimin
description Geomagnetism Aided Navigation (GAN) is one of the most important methods to control the error in the INS. An Adaptive Genetic Algorithm applied in geomagnetic marching is proposed in this paper. By adjusting the Crossover Probability and Mutation Probability adaptively according to the value of fitness function, the AGA prevents the Genetic Algorithm from premature convergence or transforms the GA to a random search. Simulation results show that the proposed method can obtain high positioning accuracy and fast calculation. The method is robust.
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subjects Adaptation model
Correlation
Gallium
Genetic algorithms
Navigation
Real time systems
Simulation
title A geomagnetic positioning method with Adaptive Genetic Algorithm
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