Internet e-commerce storage dynamic scheduling method considering real-time orders

The invention discloses an internet e-commerce storage dynamic scheduling method considering real-time orders, which takes intelligent storage as a starting point, introduces dynamic characteristics of customer random orders into a storage scheduling link, and establishes a storage dynamic scheduling optimization model with constraint conditions according to a to-be-optimized target. The grasshopper algorithm is adopted to solve the model, aiming at the defects that the grasshopper algorithm is low in convergence speed and prone to falling into local optimum, a multi-learning strategy is introduced to increase the probability that excellent genes are inherited to offspring, a heuristic migration mechanism based on population distribution characteristics is introduced to flexibly adjust the diversity of grasshopper populations, so that the local and global optimization capacity of the grasshopper algorithm is effectively improved. The e-commerce storage dynamic scheduling optimization problem is solved based o