• Electronics Optics & Control
  • Vol. 22, Issue 1, 20 (2015)
GU Jiao-jiao, ZHAO Jian-jun, and LIU Wei-hua
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2015.01.005 Cite this Article
    GU Jiao-jiao, ZHAO Jian-jun, LIU Wei-hua. Air Combat Maneuvering Decision Framework Based on Game Theory and Memetic Algorithm[J]. Electronics Optics & Control, 2015, 22(1): 20 Copy Citation Text show less

    Abstract

    The existing maneuvering decision models are deficient in reflecting the confrontation of the air combat.Therefore,we proposed an air combat maneuvering decision model based on game theory,and used Memetic Algorithm (MA) to solve the model.The air combat maneuvering decision model was established based on bi-matrix game.The MA was composed of Particle Swarm Optimization (PSO) and Tabu Search (TS) algorithm,and Simulated Annealing (SA) was introduced to maintain the diversity of particles.Simulation results show that the framework can effectively model the actual air combat,and the improved MA can meet the real-time requirements.
    GU Jiao-jiao, ZHAO Jian-jun, LIU Wei-hua. Air Combat Maneuvering Decision Framework Based on Game Theory and Memetic Algorithm[J]. Electronics Optics & Control, 2015, 22(1): 20
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