Abstract

A scheme of evolutionary game and a strategy selection evolutionary game algorithm are proposed for the decision making problem of suppressing Integrated Air Defense System (IADS) for multiple fighters by employing the evolutionary game theory and the replicator dynamics. Considering the evaluations of threats and economic strategy value, and the consumption of the war, a payoff model is developed for the suppressing fighters under the evolutionary game. Furthermore, a degree of difficulty mechanism is introduced to further investigate into the problem. The simulation results of strategy evolution process suggest that the proposed evolutionary game algorithm converges to Nash equilibrium, and demonstrate that the proposed algorithm is contribute to the decision making problem effectively.

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