Abstract
In this paper, multiple logistics robot task allocation in an intelligent warehouse system is studied. First, the task allocation model is developed based on two objectives of time balancing among logistics robots and the correlation between tasks. Then, the model is solved using the improved ant colony algorithm which innovates from the updating rule of pheromone and the setting of heuristic function. Finally, by simulation experiment, on the one hand, the improved ant colony algorithm can be used to solve the logistics robot task allocation and get a task allocation scheme. On the other hand, the validity of the improved ant colony algorithm can be verified by comparing the improved and original ant colony algorithm.
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