• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 21 Issue 3
Jun.  2008
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Article Contents
MA Yongjie, JIANG Zhaoyuan, YANG Zhimin. Dynamic Location Assignment of AS/RS Based on Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2008, 21(3): 415-421.
Citation: MA Yongjie, JIANG Zhaoyuan, YANG Zhimin. Dynamic Location Assignment of AS/RS Based on Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2008, 21(3): 415-421.

Dynamic Location Assignment of AS/RS Based on Genetic Algorithm

  • Received Date: 21 Nov 2007
  • Publish Date: 25 Jun 2008
  • 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.

     

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