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西北工业大学 国内
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Nash equilibrium strategies approach for aerial combat based on elite re-election particle swarm optimization
Yu Wang,
Wei Guo Zhang
, Li Fu, De Gang Huang, Yong Li
自动化学院
Northwestern Polytechnical University Xian
Shenyang Aerospace University
Shenyang University of Technology
科研成果
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探究 'Nash equilibrium strategies approach for aerial combat based on elite re-election particle swarm optimization' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Equilibrium Point
66%
Fast Convergence
33%
Function Value
33%
Hybrid Strategy
33%
Local Minimum
33%
Nash Equilibrium
100%
Particle Swarm Optimization
100%
particle swarm optimization algorithm
66%
Strategy Nash Equilibrium
100%
Survival Probability
33%
Unmanned Aerial Vehicle
33%
Engineering
Equilibrium Point
50%
Equilibrium Strategy
100%
Hybrid Strategy
25%
Joints (Structural Components)
25%
Local Minimum
25%
Nash Equilibrium
100%
Particle Swarm Optimization
100%
Survival Probability
25%
Survival Rate
25%
Unmanned Aerial Vehicle
25%
Value Function
25%