Supermarket intelligent scheduling algorithm for solving multiple preferences based on improved genetic algorithm

The invention discloses a supermarket intelligent scheduling algorithm for solving multiple preferences based on an improved genetic algorithm. The supermarket intelligent scheduling algorithm comprises the following steps: setting a preset condition of a shop; constructing and improving an algorithm model based on a preset condition; and solving the typesetting model according to the improved genetic algorithm. According to the supermarket intelligent scheduling algorithm for solving multiple preferences based on the improved genetic algorithm, the improved genetic algorithm is provided, Gaussian disturbance according to population fitness standard deviation is added, and mutation probability is increased for solving. Compared with a traditional coding mode based on a list, the coding mode based on a matrix is provided, different positions represent different shifts, conversion of a shift arrangement table and population individual genes can be more visually represented, meanwhile, better variation can be ac