Abstract: The accessing efficiency of automated storage and retrieval system directly affects the overall efficiency of modern logistics,and the key of accessing efficiency high and low is slotting optimization.For the goods planning problem of the automated storage and retrieval system in practical application,virus coevolutionary genetic algorithm was proposed in this paper to study the goods position optimization problem of automated storage and retrieval system,and a comparison between this algorithm and traditional genetic algorithm was made .To improve the efficiency of shelf stability and directly as the optimization goal,slotting optimization mathematical model of multi-objective optimization problem was established.Finally by the use of MATLAB tools for programming and simulation,the experimental results show that the virus coevolutionary genetic algorithm (VEGA) compared with the traditional genetic algorithm has better convergence and search efficiency.Thus,by using virus coevolutionary genetic algorithm for automated storage and retrieval system slotting optimization,the goods loading and unloading efficiency and shelf stability can be largely improved,and thus the utilization of shelves is enhanced.

Key words: Automated storage and retrieval system (AS/RS),Slotting optimization,Genetic algorithm(GA),VEGA