TY - GEN
T1 - Formation Reconfiguration of UAVs Based on Affine Transformation Using PSO-GA Optimization Algorithm
AU - Shen, Zihang
AU - Cheng, Yixin
AU - Chai, Senchun
AU - Liu, Zhuanghua
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In this paper, a PSO-GA algorithm based on affine transformation is proposed, which can effectively solve the formation reconstruction problem under multiple position constraints. This algorithm makes use of the advantages of particle swarm optimization (PSO) and genetic algorithm (GA) to enhance the global search ability and convergence speed. This paper also shows the formation trajectory of formation reconstruction by affine transformation, which shows the wide applicability of the algorithm and its potential to solve complex optimization problems.
AB - In this paper, a PSO-GA algorithm based on affine transformation is proposed, which can effectively solve the formation reconstruction problem under multiple position constraints. This algorithm makes use of the advantages of particle swarm optimization (PSO) and genetic algorithm (GA) to enhance the global search ability and convergence speed. This paper also shows the formation trajectory of formation reconstruction by affine transformation, which shows the wide applicability of the algorithm and its potential to solve complex optimization problems.
KW - affine transformation
KW - formation reconstruction
KW - optimization algorithm
UR - https://www.scopus.com/pages/publications/105041048547
U2 - 10.1109/CAC67268.2025.11487809
DO - 10.1109/CAC67268.2025.11487809
M3 - Conference contribution
AN - SCOPUS:105041048547
T3 - Proceedings - 2025 China Automation Congress, CAC 2025
SP - 547
EP - 552
BT - Proceedings - 2025 China Automation Congress, CAC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 China Automation Congress, CAC 2025
Y2 - 26 September 2025 through 28 September 2025
ER -