Title :
Research on the parameter optimization model for the automated storage and retrieval system of pharmacy
Author :
Ming, Fan ; Yi, Guo ; Chao, Yun
Author_Institution :
Sch. of Mech. Eng. & Autom., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
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.
Keywords :
learning (artificial intelligence); particle swarm optimisation; pharmaceutical industry; storage automation; automated pharmacy; automated storage; comprehensive learning; multiobjective particle swarm algorithm optimize; optimum design parameter; parameter optimization model; retrieval system; simulation experiment; Acceleration; Biological system modeling; Production; automated pharmacy; mathematic model; medicine location optimization; multi-objective particle swarm algorithm;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620771
