关键词: 立体仓库, 多目标优化, 遗传算法

Abstract: Optimal control objectives based on a stochastic storage strategy for an Automated Storage/Retrieval System（AS/RS），in which some spaces are occupied，are defined as the assignment optimizations for the whole warehouse and locations in it，and that for travel time of Storage/Retrieval Machines（SRMs）．In this paper，the controlling strategies of section assignment and location assignment of an automated warehouse are discussed．The mathematic model of the section assignment optimization is built．Based on optimization of section assignment，the mathematic model of the location assignment optimization is built further.Combining the concept of Pareto optimal sets with genetic algorithm，the improved Pareto genetic algorithm for resolving the problems of multi-objective optimization is proposed，which is used to deal with the location assignment.The simulation experiment is given，and the result is analyzed．The problem of location assignment optimization can be effectively resolved via the improved genetic algorithm proposed by this paper．The research result of this paper is valuable for improving the eficiency of automatic warehouse．

Key words: automated storage/retrieval system, Multiobjective Optimization（MOP）, genetic algorithm