Research on the parameter optimization model for the automated storage and retrieval system of pharmacy

摘要：

In this paper, the mathematic model of the optimum design parameter for automated pharmacy was put forward, and used a comprehensive learning multi-objective particle swarm algorithm optimize. The simulation experiment is given, which aimed at actual pharmacy case. The result of this paper provides that the algorithm can figure out multi-objective for the automated storage and retrieval system of the pharmacy.

关键词： automated pharmacy mathematic model medicine location optimization multi-objective particle swarm algorithm

作者: Fan Ming GuoYi Yun Chao

作者单位: School of Mechanical Engineering and Automation Beijing University of Aeronautics and Astronautics B Beijing Global Center of Information Application and Development, Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 463-467

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）