A Hybrid GA-APF 3D Trajectory Planning Method for Large-Scale UAV Formation Systems-Reference-Cited by-同舟云学术

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A Hybrid GA-APF 3D Trajectory Planning Method for Large-Scale UAV Formation Systems

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Chen Hao¹,Qi Juntong¹,Wang Mingming²,Wu Chong³,Liu Yansheng²,Ping Yuan²

Affiliation:

1. Artificial intelligence research institute, Shanghai University,Shanghai,China,200444

2. School of Electrical and Information Engineering, Tianjin University,Tianjin,China,300072

3. EFY Intelligent Control (Tianjin) Technology Co. ltd,Tianjin,China,300450

Funder

National Natural Science Foundation of China (NSFC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240821.pdf?arnumber=10240821

Reference21 articles.

1. Research on Automatic Driving Trajectory Planning and Tracking Control Based on Improvement of the Artificial Potential Field Method

2. Path Planning for Dense Drone Formation Based on Modified Artificial Potential Fields

3. Research on AGV Scheduling Optimization Based on Hungarian Algorithm

4. Path Planning for Large-scale UAV Formation Based on Improved SA-APF Algorithm

5. Solving engineering optimization problems using an improved real-coded genetic algorithm (IRGA) with directional mutation and crossover

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