UAV penetration mission path planning based on improved holonic particle swarm optimization
Author:
Affiliation:
1. College of Power Engineering, Naval University of Engineering,Wuhan,China,430033
2. Air Force Early Warning Academy,Department of Intelligence,Wuhan,China,430019
Funder
National Natural Science Foundation of China
Hubei Provincial Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
http://xplorestaging.ieee.org/ielx7/5971804/10066212/10005043.pdf?arnumber=10005043
Reference36 articles.
1. Ground Feature Oriented Path Planning for Unmanned Aerial Vehicle Mapping
2. Multi-population Cooperative Particle Swarm Optimization
3. A survey on coverage path planning for robotics
4. Optimization based on symbiotic multi-species coevolution
5. Adaptive Neural Network Control and Optimal Path Planning of UAV Surveillance System With Energy Consumption Prediction
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