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Design of Brownian Particle Swarm Algorithm for Optimizing Antenna Layout on Unmanned Boat

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DOI: 10.23977/acss.2024.080112 | Downloads: 14 | Views: 155

Author(s)

Zhang Gangao 1, Xie Wei 1, Chen Yi 1

Affiliation(s)

1 School of Ocean Engineering, Jiangsu Ocean University, Lianyungang, Jiangsu, 222005, China

Corresponding Author

Zhang Gangao

ABSTRACT

In response to the problem that traditional particle swarm optimization algorithms are difficult to search for optimal solutions due to the complex constraints of unmanned boat platform in antenna coupling layout, a Brownian particle-inspired Brownian particle swarm optimization algorithm is proposed. The new algorithm embeds Brownian particles into the traditional particle swarm optimization algorithm, and the Brownian particles perform irregular exploration movements without being constrained by the constraints in the traditional algorithm, enabling exploration within discontinuous feasible domains. Using Friis transmission equation as the objective function to solve antenna coupling degree of unmanned boats, solving results obtained using Brownian particle swarm optimization algorithm are superior and more efficient compared to those obtained using traditional particle swarm optimization algorithms.

KEYWORDS

Unmanned boat platforms, Particle swarm optimization algorithms, Friis transmission equation, Antennas

CITE THIS PAPER

Zhang Gangao, Xie Wei, Chen Yi, Design of Brownian Particle Swarm Algorithm for Optimizing Antenna Layout on Unmanned Boat. Advances in Computer, Signals and Systems (2024) Vol. 8: 107-114. DOI: http://dx.doi.org/10.23977/acss.2024.080112.

REFERENCES

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