In order to improve the storage efficiency and the space utilization, the optimization strategy of storage location of the automated pharmacy was researched according to irregular features of storage spaces.The improved chaotic particle swarm algorithm was proposed to solve the storage location optimization problem by using the ergodicity and randomness of chaotic motion for mathematical model of storage spaces. Simulation results showed that the algorithm got rid of the shortcomings that the Particle Swarm Optimization was easy to fall into of the local extreme point in late stages, while kept the rapidity in early search. The algorithm improved the efficiency of intelligent storage system, implemented intensive storage, which provided a theoretical basis and practical way to the optimization of irregular allocation of storage space of intelligent storage system in automated pharmacy.
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