Sequential Decision-making on Suppressing IADS for Multiple Fighters by Evolutionary Game Theory

A scheme of evolutionary game and a distributing best-response dynamics evolutionary game algorithm are proposed for the competing and confronting problem of suppressing Integrated Air Defense System (IADS) for multiple fighters by using the evolutionary game theory and the replicator dynamics. Considering the evaluations of threats, the evaluations of economic strategy value and the influence of the task payment for the whole system, a profit model is developed for both offense and defensive sides under the confrontation game. Furthermore, comprehensive social benefit mechanism is introduced to further investigate restrain wars and lead to more peace. The simulation results suggest the proposed algorithm converges to Nash equilibrium, and demonstrate the feasibility of the proposed algorithm.

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