Optimization algorithm of multi-truck multi-category goods loading based on benchmark methods

According to the ratio difference of volume and mass between trucks and goods, an optimization algorithm was designed by combinatorial theory on the basis of different benchmarks in order to make full use of the loading mass and volume of trucks. Light goods were marked with trucks' loading mass so as to promote the mass utilization rate of trucks, on the premise that the loading volume of trucks was fully used; heavy goods were marked with trucks' loading volume; even goods were marked with the ratio of volume and mass to optimize the trucks' loading volume and mass spontaneously, as both the dimension and load of goods were even relative to trucks. The comparison result between benchmark algorithm and other optimization algorithms shows that the efficiency of benchmark algorithm is prior to other algorithms, it has strong robustness, and especially fits to large-scale multi-truck multi-category goods loading.