Resource Allocation Model Based on Optimized Lagrange Relaxation Algorithm

This paper mainly focuses on the construction of resource allocation model, which is mainly achieved by using the improved Lagrange relaxation algorithm. By using sub-gradient optimization algorithm to improve the limit value of Lagrange relaxation algorithm, the optimal coverage problem is solved and the optimized Lagrange relaxation algorithm is established. The effective and optimal coverage solutions for medical resources and daily necessities are realized respectively, and the convergence speed is accelerated under the consideration of various constraints and uncertainties. By applying this model and algorithm, decision makers can achieve efficient and fair distribution, optimize allocation efficiency and reduce the impact of large-scale epidemic on society.