Gravity Matching Navigation Method Based on Optimized Artificial Bee Colony Algorithm
TIAN Jun
ZHAO Bo
Abstract：Artificial bee colony algorithm is able to replace non intelligent search strategy for traditional gravity matc‐hing methods to enhance the efficiency of gravity matching navigation for its fast convergence speed and low complexity . However ,the problems of anti‐interference performance and reliability for gravity matching strategy based on ABC still ex‐ist .To reduce the influence of INS error and normal gravity calculation error ,this article improves the fitness function with difference thought ,in which adjustable parameters are introduced and the optimal values are confirmed .The simulation re‐sults show that the optimized gravity matching algorithm can obtain higher matching accuracy .
Keywords：artificial bee colonygravity matchingdifference thoughtparameter optimization
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1193-1195,1206 )