During the transportation of hazardous materials, there is a high demand for safety. This article comprehensively considers various risks and transportation costs during the transportation process, and takes the weighted sum of the two as the optimization objective. Various constraints during the transportation of hazardous materials were analyzed, a mathematical model for route optimization was constructed. This model belongs to the NP-hard type of problem and there is not polynomial time solutions. A hybrid genetic algorithm was designed by combining the fireworks algorithm with genetic algorithm to solve the model. Fireworks algorithm can search in a wider range, avoiding repeated optimization in the neighborhood of local optimal solution. The combination of genetic algorithm and fireworks algorithm can take advantage of the two algorithms and overcome the defects of premature convergence of genetic algorithm. Simulation results show that satisfactory solutions can be obtained by hybrid genetic-fireworks algorithm.