Ground-to-air-Defense Firepower Assignment Decision Based on Non-cooperative Game

The key problem of ground-to-air defense is how to make accurate and effective firepower assignment decision for attacking targets. A multi-objective optimization model of ground-to-air defense firepower assignment is established with the aim of maximizing the damage probability and minimizing the w...

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Bibliographic Details
Main Authors: Gong, Hua, Cui, Mengya, Zhang, Yong, Sun, Wenjuan
Format: Conference Proceeding
Language:English
Subjects:
Automation
firepower assignment
Games
genetic algorithm
ground-to-air defense
Minimization
Nash equilibrium
non-cooperative game
Search problems
Stability analysis
Weapons
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Summary:The key problem of ground-to-air defense is how to make accurate and effective firepower assignment decision for attacking targets. A multi-objective optimization model of ground-to-air defense firepower assignment is established with the aim of maximizing the damage probability and minimizing the weapon consumption, and non-cooperative game theory is used to solve the problem. A non-cooperative game model is established by mapping the two objectives to players, and weapon assignment schemes to strategy profiles. An improved tabu genetic algorithm based on Nash equilibrium is designed to get the assignment scheme. Experimental results show that the proposed method has better convergence and stability than the improved genetic algorithm based on tabu search for multi-objective optimization model.
ISSN:2688-0938
DOI:10.1109/CAC53003.2021.9727849