Path Optimization Study of Military Material Based on Time Uncertainty

Aiming at the path optimization problem of military material based on time uncertainty, a multi-objective distribution model with a fuzzy time window was established with the shortest distribution path and the smallest time disturbance measure as the objective function. Combined weight method was used to assign weighted values to all kinds of military materials needed by combat points. The material urgency of the combat point is obtained, and then the time disturbance measurement is constructed. A genetic algorithm is used to solve the multiobjective optimization problem.