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基于人工鱼群算法的拣选作业优化问题 被引量:4

Artificial Fish-school Swarm Algorithm for Solving Order-picking Problem
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摘要 为了提高自动化仓库固定货架拣选作业的工作效率,引入较为简单、高效的人工鱼群算法来优化拣选路径.根据所建立的拣选路径优化问题的数学模型进行程序设计,并在Matlab环境下进行仿真实验,通过结果有效证明该算法是提高拣选效率的有效方法. In order to improve the work efficiency of the automated warehouse order-picking task,the artificial fish-school swarm algorithm which is more simple and efficient is introduced to optimize the picking sequence.Depend on the established mathematical model of order-picking routing optimization problem,the program is designed and the simulation experiment is carried out in matlab.The result shows that this algorithm is effective to improve the efficiency of picking task.
出处 《兰州交通大学学报》 CAS 2012年第1期123-126,共4页 Journal of Lanzhou Jiaotong University
关键词 自动化仓库 人工鱼群算法 拣选路径优化 automated warehouse artificial fish-school swarm algorithm order-picking routing optimization
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