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A simulation-based Genetic Algorithm approach for refilling process with Clip Type Passive Manipulator

Authors: null HongLei Che; null ZongZhi Wu; null RongXue Kang; null Chao Yun; null Hui Jin;

A simulation-based Genetic Algorithm approach for refilling process with Clip Type Passive Manipulator

Abstract

A new Clip Type Passive Manipulator, instead of the Scissors Type Manipulator, is studied and applied for solving the problem of samll capacity of the manipulator. When the capacity of the manipulator increases, the picking algorithm is considered for refilling process. The sequence of medicine storages is arranged in accordance with the picking algorithm, which is one improtant operational efficiency index of Fast Medicine Dispensing System (FMDS) in Pharmacy. Genetic Algorithm (GA) is used in the picking algorithm to serach a better picking route. Based on the experiments and data analysis, results show the picking route value simulated-based GA by the Clip Type Manipulator more than 17% compared with the Scissors Type Manipulator. By increasing of picking points, the rate of optimization decreases firstly and then increases.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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