학술논문

Survey of swarm intelligence optimization algorithms
Document Type
Conference
Source
2017 IEEE International Conference on Unmanned Systems (ICUS) Unmanned Systems (ICUS), 2017 IEEE International Conference on. :544-549 Oct, 2017
Subject
Robotics and Control Systems
Signal Processing and Analysis
Particle swarm optimization
Optimization
Unmanned aerial vehicles
Algorithm design and analysis
Heuristic algorithms
Task analysis
Silicon
UAV
Swarm Intelligence
Ant Colony Algorithm
Particle Swarm Optimization
Language
Abstract
Unmanned aerial vehicles (UAVs) swarm technology has been a hot topic. The concept of swarm comes from nature, such as the cooperation of bee colony or ant colony, so the research of swarm intelligence (SI) optimization algorithm inspired by swarm activities in nature is beneficial to the development of swarm UAVs technology. The characteristics and principles of eleven SI algorithms are described and analyzed in the paper. The article also analyzed how to combine SI and multi-UAV task assignments. Furthermore, the prospects for development of the SI are discussed.