Multi-sensor cross cueing technology based on grey wolf algorithm

In order to solve the problem of poor convergence and low precision of the current Multi-sensor Detection Network algorithm, a multi-sensor cross cueing technology based on Grey Wolf algorithm is proposed. By endowing the grey wolf with autonomous decision-making ability, the algorithm can jump out...

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 533; no. 1; pp. 12040 - 12046
Main Authors Daozhi, WEI, Jiahao, XIE
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.05.2019
Subjects
Algorithms
Convergence
Decision making
Optimization
Sensors
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Summary:In order to solve the problem of poor convergence and low precision of the current Multi-sensor Detection Network algorithm, a multi-sensor cross cueing technology based on Grey Wolf algorithm is proposed. By endowing the grey wolf with autonomous decision-making ability, the algorithm can jump out of the local optimal solution as soon as possible, and the convergence degree of the algorithm is improved. The simulation results show that the algorithm can find the optimal solution in a short time and maintain good stability, and the optimization ability is further strengthened. By comparing with other algorithms, it is more effective to prove that the algorithm has better solution quality.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/533/1/012040