The work aims to construct the mathematical model for the two-block warehouse with the shortest picking time as the objective function to further improve the picking efficiency. A dynamic picking strategy for dynamic cargo space adjustment and manual picking was proposed and designed. The GA algorithm and the GASA algorithm were respectively used to optimize the solution. The GASA algorithm was better than the GA algorithm. The picking time could be reduced by 4% in the case of one picking order. Compared with the static picking strategy, in the case of 10 picking orders, when the GASA algorithm was used, the picking time under the dynamic picking strategy designed herein could be reduced by 6%, and as the number of picking orders increased, more picking time would be saved. The GASA algorithm is more efficient and better optimized than the GA algorithm for solving the problem of dynamic picking path optimization. The proposed dynamic picking strategy can be implemented more conveniently. On the basis of static picking path optimization, the picking efficiency can be further improved, and the more the picking orders, the more significant the effect.