Research on regional coverage with LAVs based on MOPSOA

Yehong Du; He Cui; Bing Li; Jie Li

doi:10.12733/jics20105763

Research on regional coverage with LAVs based on MOPSOA

Yehong Du^*, He Cui, Bing Li, Jie Li

^*Corresponding author for this work

School of Mechatronical Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Regional coverage reconnaissance is a significant means of obtaining the important targets in the region and a prerequisite for the precision strike. The research status of LAVs (Loitering Air Vehicles) regional coverage is analyzed in his paper, and the detector model is built which is applicable to LAV. By analyzing the different ways how circular target region should be divided, a conclusion is obtained that the total distance is shortest and the total turning number is least in the parallel split manner; according to the indicators requirements of turning radius and reconnaissance radius, LAV turning method is appropriately given; the objective function of this problem is established and the constraints are determined correspondingly, then this problem had been optimized with MOPSOA (Multi-object Particle Swarm Optimization Algorithm); the obtained path plan after optimization is ideal.

Original language	English
Pages (from-to)	2081-2092
Number of pages	12
Journal	Journal of Information and Computational Science
Volume	12
Issue number	6
DOIs	https://doi.org/10.12733/jics20105763
Publication status	Published - 10 Apr 2015

Keywords

LAV
MOPSOA
Path plan
Regional coverage

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10.12733/jics20105763

Cite this

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abstract = "Regional coverage reconnaissance is a significant means of obtaining the important targets in the region and a prerequisite for the precision strike. The research status of LAVs (Loitering Air Vehicles) regional coverage is analyzed in his paper, and the detector model is built which is applicable to LAV. By analyzing the different ways how circular target region should be divided, a conclusion is obtained that the total distance is shortest and the total turning number is least in the parallel split manner; according to the indicators requirements of turning radius and reconnaissance radius, LAV turning method is appropriately given; the objective function of this problem is established and the constraints are determined correspondingly, then this problem had been optimized with MOPSOA (Multi-object Particle Swarm Optimization Algorithm); the obtained path plan after optimization is ideal.",

keywords = "LAV, MOPSOA, Path plan, Regional coverage",

author = "Yehong Du and He Cui and Bing Li and Jie Li",

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doi = "10.12733/jics20105763",

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AU - Du, Yehong

AU - Cui, He

AU - Li, Bing

AU - Li, Jie

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Y1 - 2015/4/10

N2 - Regional coverage reconnaissance is a significant means of obtaining the important targets in the region and a prerequisite for the precision strike. The research status of LAVs (Loitering Air Vehicles) regional coverage is analyzed in his paper, and the detector model is built which is applicable to LAV. By analyzing the different ways how circular target region should be divided, a conclusion is obtained that the total distance is shortest and the total turning number is least in the parallel split manner; according to the indicators requirements of turning radius and reconnaissance radius, LAV turning method is appropriately given; the objective function of this problem is established and the constraints are determined correspondingly, then this problem had been optimized with MOPSOA (Multi-object Particle Swarm Optimization Algorithm); the obtained path plan after optimization is ideal.

AB - Regional coverage reconnaissance is a significant means of obtaining the important targets in the region and a prerequisite for the precision strike. The research status of LAVs (Loitering Air Vehicles) regional coverage is analyzed in his paper, and the detector model is built which is applicable to LAV. By analyzing the different ways how circular target region should be divided, a conclusion is obtained that the total distance is shortest and the total turning number is least in the parallel split manner; according to the indicators requirements of turning radius and reconnaissance radius, LAV turning method is appropriately given; the objective function of this problem is established and the constraints are determined correspondingly, then this problem had been optimized with MOPSOA (Multi-object Particle Swarm Optimization Algorithm); the obtained path plan after optimization is ideal.

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Research on regional coverage with LAVs based on MOPSOA

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Keywords

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