Research on Optimization of Warehouse Allocation Problem Based on Improved Genetic Algorithm

Abstract

In this paper, a mathematical model is established for the distribution of cargo warehouses in a three-dimensional warehouse. This model is a multi-objective optimization problem which considers three factors: shelf stability, time of delivery, and association rules among goods. This paper uses the simulated annealing algorithm to solve the problem that the traditional genetic algorithm “easily falls into the local optimal solution” in the search problem, and combines the improved genetic algorithm and the objective function to distribute the goods in the goods. The experimental results show that the improved genetic algorithm is better than the traditional genetic algorithm in time and the optimization of the objective function, which improves the efficiency of the whole warehouse and reduces the operation cost of the enterprise.