Abstract: An approach of a genetic algorithm combined with Hopfield neural networks(HP NNs) is adopted to resolve the order-picking optimization problem in the automated warehouse. While HP NNs model is utilized with the property of high speed of local search, the global solution can also be well achieved. Experimental results verify that the requirement of wide range of the picking materials number can be satisfied.

Key words: Automated warehouse, Combinatorial optimization, Genetic algorithm, Hopfield neural networks