AGV Scheduling Optimizing Research of Collaborative Manufacturing System Based on Improved Genetic Algorithm

Nai Fei Ren; Dan Liu; Yan Zhao; Xiao Bing Ge

doi:10.4028/www.scientific.net/AMM.300-301.55

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 300-301AGV Scheduling Optimizing Research of...

AGV Scheduling Optimizing Research of Collaborative Manufacturing System Based on Improved Genetic Algorithm

Abstract:

This paper provides improved genetic algorithm to solve productivity efficiency in Collaborative Manufacture System (CMS) according to its own characteristics.This improved algorithm not only improved coding method but also improved crossover method and mutation method.And the simulation experiment result in CMS validated the productivity efficiency promoted compared with improved and standard genetic algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 300-301)

Pages:

55-61

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.300-301.55

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Online since:

February 2013

Authors:

Nai Fei Ren, Dan Liu, Yan Zhao, Xiao Bing Ge

Keywords:

AGV Scheduling Optimizing Research, Collaborative Manufacturing System, Improved Genetic Algorithm (IGA)

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