Research on Reloading Airdrop Strategy Based on Multi-Objective Programming

Yue Yang, Xiaolong Wu, Zengyang Wang

2023

Abstract

In order to realize the rapid assembly of equipment, it is necessary to use formation for airdrop. When the formation aircraft are too close to each other, the wake of the front aircraft may affect the safety of the rear aircraft and the cargo. In order to make the landing point of the rear aircraft and the target point as small as possible and the landing time as close as possible. In this paper, a multi-objective optimization problem with target distance and landing time as objective functions is established. After analyzing the specific flight problems and establishing a series of constraints, a suitable intelligent optimization algorithm-genetic algorithm is selected to solve the multi-objective problems.

Paper Citation

in Harvard Style

Yang Y., Wu X. and Wang Z. (2023). Research on Reloading Airdrop Strategy Based on Multi-Objective Programming. 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 552-555. DOI: 10.5220/0012287400003807

in Bibtex Style

@conference{anit23,
author={Yue Yang and Xiaolong Wu and Zengyang Wang},
title={Research on Reloading Airdrop Strategy Based on Multi-Objective Programming},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={552-555},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012287400003807},
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 - Research on Reloading Airdrop Strategy Based on Multi-Objective Programming
SN - 978-989-758-677-4
AU - Yang Y.
AU - Wu X.
AU - Wang Z.
PY - 2023
SP - 552
EP - 555
DO - 10.5220/0012287400003807
PB - SciTePress