Author(s)

Mengyuan Ge, Juntao Li

Corresponding Author

Mengyuan Ge

ABSTRACT

The traditional genetic algorithm is easy to fall into the local optimal solution in the multi-objective function model of the distribution center warehouse, which produces many infeasible solutions. To this end, the paper proposes an improved genetic algorithm, using mutation operator selection and other items. By selecting the control parameters reasonably, it is possible to obtain relatively good individuals of each alphabet, and then select the optimal solution of multi-objective functions to reduce the defects of genetic algorithm. Finally, the paper validates the effectiveness of improved genetic algorithm in the storage location optimization of the distribution center warehouse.

KEYWORDS

Improved genetic algorithm, Warehouse storage optimization, Multi-objective function model