Collaborative Task Decision of Manned/Unmanned Platforms Based on Game Theory
By modeling the scenario of a hypothetical task and analyzing the uncertainty of probability information such as sensor detection,damage,and interference,a game decision-solving method for manned/unmanned platform collaborative tasks under uncertainty information is proposed.Based on the detection probability,information interfer-ence probability and weapon damage probability information of red and blue sensors,a cooperative task game Decision model is constructed.Combining the interval number sorting method and the quantum particle swarm optimization al-gorithm,the Nash equilibrium solution of the game problem of manned/unmanned platform collaborative task under uncertainty information is solved.Simulation studies have shown that the quantum particle swarm optimization algo-rithm is feasible and efficient in solving Nash equilibrium problems under the scenarios and constraints in this paper,providing a solution for collaborative task game decision-making problems in complex environments.
Uncertainty informationManned/unmanned platform collaborationGame decision-makingQuantum particle swarmInterval number sorting
万方数据
维普
