Open AccessResearch on improvement of hybrid particle swarm algorithm in underwater active electric field positioning technology
Author(s) -
Tianyang Xu,
Ding Cai,
Beiming Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1976/1/012020
Subject(s) - particle swarm optimization , algorithm , underwater , swarm behaviour , computer science , hybrid algorithm (constraint satisfaction) , positioning system , field (mathematics) , dynamic positioning , engineering , artificial intelligence , mathematics , marine engineering , constraint logic programming , oceanography , constraint satisfaction , structural engineering , probabilistic logic , node (physics) , geology , pure mathematics
Since the underwater active electric field positioning algorithm based on the MP-MUSIC algorithm has a slower positioning search speed, the hybrid particle swarm algorithm is introduced to speed up the positioning search speed and positioning accuracy. This paper improves the particle swarm algorithm, adopts dynamic learning factors, and uses natural selection-hybrid particle swarm algorithm to improve the search speed and positioning accuracy of the positioning algorithm.