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article · Journal of Southwest Jiaotong University · 2008

Dynamic Location Assignment of AS/RS Based on Genetic Algorithm

Yongjie Ma, Jiang Zhao-yuan, Yang Zhimin

Cited by 8Abstract and details only

Abstract

Optimal control objectives based on a stochastic storage strategy for an automated storage/retrieval system(AS/RS),in which some spaces are occupied,were defined as the assignment optimizations for the whole warehouse and locations in it,and that for travel time of storage/retrieval machines(SRMs).Constraints in the optimization model include the capacity and the travel speed,and the rules such as storage first and retrieval last,storage from near to far,and retrieval from far to near for the SRMs in a multi-command cycle.The optimal Pareto solution of the dynamic location assignment and picking up path optimization was obtained using a genetic algorithm.An experiment was presented to show the feasibility of the proposed method.

Cite this paper

APA 7

Ma, Y., Zhao-yuan, J., & Zhimin, Y. (2008). Dynamic Location Assignment of AS/RS Based on Genetic Algorithm. Journal of Southwest Jiaotong University, 43(3), 415–421.

MLA 9

Ma, Yongjie, et al. “Dynamic Location Assignment of AS/RS Based on Genetic Algorithm.” Journal of Southwest Jiaotong University, vol. 43, no. 3, 2008, pp. 415–21.

Chicago

Ma, Yongjie, Jiang Zhao-yuan, and Yang Zhimin. 2008. “Dynamic Location Assignment of AS/RS Based on Genetic Algorithm.” Journal of Southwest Jiaotong University 43 (3): 415–21.

Harvard

Ma, Y., Zhao-yuan, J. and Zhimin, Y. (2008) ‘Dynamic Location Assignment of AS/RS Based on Genetic Algorithm’, Journal of Southwest Jiaotong University, 43(3), pp. 415–421.

BibTeX
@article{ma2008dynamic,
  title = {{Dynamic Location Assignment of AS/RS Based on Genetic Algorithm}},
  author = {Ma, Yongjie and Zhao-yuan, Jiang and Zhimin, Yang},
  journal = {Journal of Southwest Jiaotong University},
  volume = {43},
  number = {3},
  pages = {415--421},
  year = {2008}
}

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