Research on multi-objective workshop layout optimization based on improved ant colony algorithm

In order to improve the workshop production efficiency, this paper establishes a multi-objective mathematical model for optimizing workshop layout with the objectives of minimum logistics handling cost and maximum non-logistics relationship, adopts SLP method to optimize the workshop layout, and substitutes the optimization results into the algorithm as the initial population, and then combines the ant colony algorithm and the genetic algorithm for the solution, and finally arrives at the optimal workshop layout scheme. The material handling cost of the optimized layout is $\mathbf{3 7. 1 \%}$ lower than the original scheme, which verifies the effectiveness of the final scheme. Through this method, the defects of traditional SLP in layout design that is easily influenced by the designer’s experience can be effectively avoided, and the difficulty that the ant colony algorithm is prone to fall into local optimization can be solved at the same time.