Optimization of Sorting Activities in Automatic Storage and Retrieval Systems Based on Improved Artificial Fish Swarm Algorithm

For the problem of picking path planning in automatic storage, the traditional artificial fish swarm algorithm is improved to be used to optimize the picking system. In the algorithm, the calculation of dynamic parameters is added, so that the field of view and step size of the algorithm are dynamically changed to adapt to the convergence process of the algorithm; the chaotic model is added for initialization to obtain a better initial individual distribution. Experiments show the improved algorithm is feasible in the sorting activities in automatic storage and retrieval systems.