Duan et al., 2013 - Google Patents
Multiple UCAVs cooperative air combat simulation platform based on PSO, ACO, and game theoryDuan et al., 2013
View PDF- Document ID
- 11729349546520818183
- Author
- Duan H
- Wei X
- Dong Z
- Publication year
- Publication venue
- IEEE Aerospace and Electronic Systems Magazine
External Links
Snippet
In this work, we have developed a multiple UCAVs cooperative air combat simulation platform, which is based on PSO, ACO, and game theory. The Matlab program is used as the developing tool. In this platform, the practitioners can investigate the inherent mechanism by …
- 238000004088 simulation 0 title abstract description 31
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F41—WEAPONS
- F41G—WEAPON SIGHTS; AIMING
- F41G3/00—Aiming means; Laying means
- F41G3/26—Teaching or practice apparatus for gun-aiming or gun-laying
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F41—WEAPONS
- F41G—WEAPON SIGHTS; AIMING
- F41G3/00—Aiming means; Laying means
- F41G3/04—Aiming means; Laying means for dispersing fire from a battery; for controlling spread of shots; for coordinating fire from spaced weapons
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Duan et al. | Multiple UCAVs cooperative air combat simulation platform based on PSO, ACO, and game theory | |
Ernest et al. | Genetic fuzzy based artificial intelligence for unmanned combat aerial vehicle control in simulated air combat missions | |
Li et al. | A Multi-UCAV cooperative occupation method based on weapon engagement zones for beyond-visual-range air combat | |
CN112417710A (en) | Weapon equipment system contribution degree evaluation method based on combat ring | |
Xia et al. | Multi—UAV path planning based on improved neural network | |
Fu et al. | The overview for UAV air-combat decision method | |
Radovanović et al. | Application of the fuzzy AHP-VIKOR hybrid model in the selection of an unmanned aircraft for the needs of tactical units of the armed forces | |
Zhao et al. | A method of path planning for unmanned aerial vehicle based on the hybrid of selfish herd optimizer and particle swarm optimizer | |
Yu et al. | Unmanned aerial vehicle path planning based on TLBO algorithm | |
Tolk | Tutorial on the engineering principles of combat modeling and distributed simulation | |
Ye et al. | Multi-UAV task assignment based on satisficing decision algorithm | |
Duan et al. | Route planning method design for UAV under radar ECM scenario | |
CN118171572A (en) | Unmanned plane cluster evolution type simulation training method, system, medium and equipment | |
Li et al. | Modelling for combat task allocation problem of aerial swarm and its solution using wolf pack algorithm | |
Fu et al. | Survey of manned/unmanned air combat decision technology | |
Thompson | Paying for weight in blood: An analysis of weight and protection level of a combat load during tactical operations | |
Jia et al. | An operational effectiveness evaluation method of the swarming UAVs air combat system | |
Robbins | Discovery of counter IADS swarming autonomy behaviors with machine learning | |
Niland | The migration of a collaborative UAV testbed into the flames simulation environment | |
Xu et al. | A Combat Decision Support Method Based on OODA and Dynamic Graph Reinforcement Learning | |
Priyaa | Machine Leering Based on Fuzzy Decision Trees for Autonomous Armed Aerial Vehicle Control in Realistic Air Combat Scenarios | |
Liu et al. | Research on Decision–Making Method of Air Combat Embedded Training Based on Extended Influence Diagram | |
Zhu et al. | Research on Multi-aircraft Cooperative Combat Based on Deep Reinforcement Learning | |
Hu et al. | A Neural Network-Based Intelligent Decision-Making in the Air-Offensive Campaign with Simulation | |
Liu et al. | Research on Individual Performance Index of Air Cluster Combat Aircraft Based on Differential Game Theory |