Workshop Layout Design Based on Genetic Algorithm

Song Yan Zhang

doi:10.4028/www.scientific.net/AMR.739.721

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 739Workshop Layout Design Based on Genetic Algorithm

Workshop Layout Design Based on Genetic Algorithm

Abstract:

Genetic algorithm is a kind of global stochastic research method that simulates biological evolution process to achieve optimal results. In this paper, we use genetic algorithm in the workshop layout design. The result shows that genetic algorithms can not only get excellent near optimal solutions, but also have high computing efficiency and practicability.

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Periodical:

Advanced Materials Research (Volume 739)

Pages:

721-724

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.739.721

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Online since:

August 2013

Authors:

Song Yan Zhang

Keywords:

Design, Genetic Algorithm (GA), Workshop Layout

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References

[1] J. -E. Chang, L. -K. Ma: Computer - Aided Facility Layout of Workshop Based on Genetic Algorithms, journal of Wuhan University of Technology, vol. 30(4), pp.548-550/555, (2008).

Google Scholar

[2] Kazerooni, M., Luonge, L., & Abhary, K. (1995): Cell formation using genetic algorithms. International Journal of Flexible Automation and Integrated Manufacturing, 3(3–4), 283–299.

Google Scholar

[3] S. Panwalker, W. Iskander: A survey of scheduling, Ops. Res., vol. 25(1), pp.45-61, (1977).

Google Scholar

[4] W. -L. Wang, Q. -D. Wu: Intelligent algorithm and application about production scheduling, Beijing: Science Press, (2007).

Google Scholar