Improved Genetic Algorithm for Emergency Materials Vehicle Routes Optimization

In order to improve the efficiency of emergency materials distribution, scientific decision on vehicle routes plays an important role. This article assumes that the emergency materials required by each disaster site are allowed to be delivered in advance but not delayed. Considering vehicle maintenance and driver's continuous working ability, taking the distribution cost as the objective function, a mathematical optimization model for the problem is established. Based on genetic algorithm, optimization algorithm is designed to solve the model. Then, effects of different optimization algorithms were compared. The application shows that the method operates quickly and the results are rational.