Optimization of flow shop scheduling control strategy based on improved differential evolution algorithm

The scheduling problem of flow shop involves the benefit of production enterprise. In order to solve the existing problems in the flow shop scheduling problem, a modified job shop scheduling problem optimization algorithm based on differential evolution algorithm is proposed. First of all, the mathematical model of flow shop scheduling problem is established, and the shortest processing time is taken as the evaluation index. Then the mathematical model is solved and differential evolution algorithm is adopted. The differential evolution algorithm has been improved accordingly to speed up the solution of the mathematical model. Finally, the performance of the algorithm is tested and analyzed. The result shows that the algorithm can get better flow shop scheduling problem. Compared with other algorithms, the improved differential evolution algorithm has better evaluation index, and has higher practical application value.