知识和数据协同驱动的群体智能决策方法研究综述

蒲志强, 易建强, 刘振, 丘腾海, 孙金林, 李非墨 - 自动化学报, 2022 - aas.net.cn
群体智能(Collectire intelligence, CI) 系统具有广泛的应用前景. 当前的群体智能决策方法主要
包括知识驱动, 数据驱动两大类, 但各自存在优缺点. 本文指出, 知识与数据协同驱动将为群体 …

Towards real-time path planning through deep reinforcement learning for a UAV in dynamic environments

C Yan, X Xiang, C Wang - Journal of Intelligent & Robotic Systems, 2020 - Springer
Path planning remains a challenge for Unmanned Aerial Vehicles (UAVs) in dynamic
environments with potential threats. In this paper, we have proposed a Deep Reinforcement …

Algorithms and applications of intelligent swarm cooperative control: A comprehensive survey

X Xu, X Yan, W Yang, K An, W Huang… - Progress in Aerospace …, 2022 - Elsevier
The intelligent swarm concept has attracted much interest in recent years. Intelligent swarms
have been deployed in many real-world applications, such as transportations, target …

[PDF][PDF] Genetic fuzzy based artificial intelligence for unmanned combat aerial vehicle control in simulated air combat missions

N Ernest, D Carroll, C Schumacher… - Journal of Defense …, 2016 - researchgate.net
Breakthroughs in genetic fuzzy systems, most notably the development of the Genetic Fuzzy
Tree methodology, have allowed fuzzy logic based Artificial Intelligences to be developed …

Autonomous air combat maneuver decision using Bayesian inference and moving horizon optimization

H Changqiang, D Kangsheng… - Journal of Systems …, 2018 - ieeexplore.ieee.org
To reach a higher level of autonomy for unmanned combat aerial vehicle (UCAV) in air
combat games, this paper builds an autonomous maneuver decision system. In this system …

Deep reinforcement learning-based air-to-air combat maneuver generation in a realistic environment

JH Bae, H Jung, S Kim, S Kim, YD Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Artificial intelligence is becoming increasingly important in the air combat domain. Most air
combat research now assumes that all aircraft information is known. In practical applications …

Autonomous maneuver decisions via transfer learning pigeon-inspired optimization for UCAVs in dogfight engagements

W Ruan, H Duan, Y Deng - IEEE/CAA Journal of Automatica …, 2022 - ieeexplore.ieee.org
This paper proposes an autonomous maneuver decision method using transfer learning
pigeon-inspired optimization (TLPIO) for unmanned combat aerial vehicles (UCAVs) in …

Research on air confrontation maneuver decision-making method based on reinforcement learning

X Zhang, G Liu, C Yang, J Wu - Electronics, 2018 - mdpi.com
With the development of information technology, the degree of intelligence in air
confrontation is increasing, and the demand for automated intelligent decision-making …

[HTML][HTML] Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork

W Chang, WU Lizhen, YAN Chao, W Zhichao… - Chinese Journal of …, 2020 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) are useful in dangerous and dynamic tasks such
as search-and-rescue, forest surveillance, and anti-terrorist operations. These tasks can be …

Review of deep reinforcement learning

K Yu, K Jin, X Deng - 2022 IEEE 5th Advanced Information …, 2022 - ieeexplore.ieee.org
With the continuous development of information technology, machine intelligence has
become a hot research issue. Deep learning can effectively extract the characteristic …