Problem Research on the Optimal Way of UAV on Account of Ant Colony Algorithm

Jichao Wang, Meili Zhang, Rui Tan, Yong Xiao

2023

Abstract

The sealing and control combat planning of the port is to protect our maritime transport line and lifeline. By increasing the possibility of discovering hostile ships, it can reduce the threat of hostile forces to our interests. It is of great significance to the security and stability of the port, and even related to the important security of the port in the state of battle. This paper studies and discusses the function of UAV target recognition, and proposes the optimal path problem of using the positive feedback and robustness.

Paper Citation

in Harvard Style

Wang J., Zhang M., Tan R. and Xiao Y. (2023). Problem Research on the Optimal Way of UAV on Account of Ant Colony Algorithm. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 16-19. DOI: 10.5220/0012273000003807

in Bibtex Style

@conference{anit23,
author={Jichao Wang and Meili Zhang and Rui Tan and Yong Xiao},
title={Problem Research on the Optimal Way of UAV on Account of Ant Colony Algorithm},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={16-19},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012273000003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Problem Research on the Optimal Way of UAV on Account of Ant Colony Algorithm
SN - 978-989-758-677-4
AU - Wang J.
AU - Zhang M.
AU - Tan R.
AU - Xiao Y.
PY - 2023
SP - 16
EP - 19
DO - 10.5220/0012273000003807
PB - SciTePress