Abstract

This paper proposes a computational evolutionary game model involving the government, logistics enterprises, and consumers to analyze the promotion mechanism of drone logistics.Based on replicator dynamic equations, the dynamic evolution of multi-agent strategies is formulated and solved using numerical computation methods. A simulation framework is implemented on the MATLAB platform, where multiple parameter scenarios are designed to analyze the sensitivity and convergence behavior of the system.Through computational experiments and dynamic evolution curves, the impacts of government subsidy intensity, enterprise revenue structure, and consumer perception parameters on system stability are quantitatively evaluated. The simulation results verify the theoretical stability analysis and demonstrate that appropriate subsidy policies and perception optimization can guide the system toward a stable collaborative equilibrium.The proposed model and simulation results provide a computational decision-support method for drone logistics promotion policies.