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Research on Optimization of Warehouse Allocation Problem Based on Improved Genetic Algorithm

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Bio-inspired Computing: Theories and Applications (BIC-TA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 952))

Abstract

In this paper, a mathematical model is established for the distribution of cargo warehouses in a three-dimensional warehouse. This model is a multi-objective optimization problem which considers three factors: shelf stability, time of delivery, and association rules among goods. This paper uses the simulated annealing algorithm to solve the problem that the traditional genetic algorithm “easily falls into the local optimal solution” in the search problem, and combines the improved genetic algorithm and the objective function to distribute the goods in the goods. The experimental results show that the improved genetic algorithm is better than the traditional genetic algorithm in time and the optimization of the objective function, which improves the efficiency of the whole warehouse and reduces the operation cost of the enterprise.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Project Number: 71472081).

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Authors and Affiliations

  1. School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, 114051, China

    Ding Ning, Wang Li, Teng Wei & Zhao Yue

Authors
  1. Ding Ning
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  2. Wang Li
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  3. Teng Wei
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  4. Zhao Yue
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Corresponding author

Correspondence to Wang Li .

Editor information

Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Jianyong Qiao

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Xinchao Zhao

  3. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  4. Beijing University of Posts and Telecommunications, Beijing, China

    Xingquan Zuo

  5. Anhui University, Hefei, China

    Xingyi Zhang

  6. City University of Hong Kong, Kowloon, Hong Kong

    Qingfu Zhang

  7. Beijing University of Posts and Telecommunications, Beijing, China

    Shanguo Huang

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Cite this paper

Ning, D., Li, W., Wei, T., Yue, Z. (2018). Research on Optimization of Warehouse Allocation Problem Based on Improved Genetic Algorithm. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 952. Springer, Singapore. https://doi.org/10.1007/978-981-13-2829-9_23

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  • DOI: https://doi.org/10.1007/978-981-13-2829-9_23

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2828-2

  • Online ISBN: 978-981-13-2829-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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