摘要
固定货架是自动化立体仓库应用最广泛的存储设备,货位配置是否优化直接影响货架的稳定性和存取操作效率。因此,建立了货位配置优化问题的数学模型,提出了采用Pareto遗传算法解决多目标组合优化问题,可得到Pareto最优解集。此算法包括5个基本算子:选择、变异、交叉、小生境技术、Pareto集合过滤器。通过仿真实验验证了将Pareto遗传算法应用在实际货位配置优化问题中,取得了较好的结果。
The fixed freight shelves are widely used in automated warehouses for storage, The stability of rackets and the efficiency of the storage and retrieval depend on that if the freight sites assignment is optimal. A mathematic model is built to describe the problem of the freight sites assignment optimization. Pareto genetic algorithm （GA） is used to deal with the combinatorial multi-objective optimization problem which generates Pareto optimal sets. The simulation results show the good effect of the application of Pareto GA to solve the practical freight sites assignment problem.
出处
《控制工程》
CSCD
2006年第2期138-140,144,共4页
Control Engineering of China
