Improved Shuffled Frog Leaping Algorithm for Solving Multi-aisle Automated Warehouse Scheduling Optimization

  • Wenqiang Yang
  • Li Deng
  • Qun Niu
  • Minrui Fei
Part of the Communications in Computer and Information Science book series (CCIS, volume 402)


For multi-aisle automated warehouse scheduling optimization problem, a mathematical model with constraints is established, and a new shuffled frog leaping algorithm is proposed. During the process of obtaining optimal solution, to enhance the local search ability, stepsize is adjusted adaptively, and the frog individuals are guided to update. Meanwhile, in order to maintain the diversity of the populations and strengthen the global search ability, heuristic mutation operation is embedded. This not only ensures the global optimization, but also enhances the convergence efficiency. To verify the performance of the proposed algorithm, it is compared with shuffled frog leaping algorithm (SFLA) and genetic algorithm (GA) through simulation combined the industrial real case. Results show that the proposed algorithm achieves good performance in terms of the solution quality and the convergence efficiency.


shuffled frog leaping algorithm adaptive stepsize diversity of the population guided update multi-aisle automated warehouse scheduling optimization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Wenqiang Yang
    • 1
  • Li Deng
    • 1
  • Qun Niu
    • 1
  • Minrui Fei
    • 1
  1. 1.Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronics Engineering and AutomationShanghai UniversityShanghaiChina

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