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Location of Logistics Distribution Center Based on Improved Bald Eagle Algorithm

Author

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  • Yanfen Tong

    (College of Economics and Management, Beibu Gulf University, No. 12, Binhai Avenue, Qinzhou 535011, China
    Beibu Gulf Marine Development Research Center, Beibu Gulf University, No. 12, Binhai Avenue, Qinzhou 535011, China)

  • Xianbao Cheng

    (School of Electronics and Information Engineering, Beibu Gulf University, No. 12, Binhai Avenue, Qinzhou 535011, China
    Key Laboratory of Beibu Gulf Offshore Engineering Equipment and Technology, Education Department of Guangxi Zhuang Autonomous Region, Beibu Gulf University, Qinzhou 535011, China)

Abstract

The location of a logistics distribution center is a complex combinatorial optimization problem, and it is difficult to achieve the best results by traditional mathematical methods. This paper proposes an improved bald eagle search applied to logistics distribution center location selection for the first time, one which uses the chaotic operator to initialize the population, increases the diversity of populations, and introduces a sine and cosine algorithm in the search stage. It increases the global search ability of the algorithm and the ability to jump further out of the local space. Through test function and location simulation experiments, it is proved that the improved algorithm has obvious advantages over other common algorithms in solution accuracy and convergence speed. It can effectively improve the efficiency of logistics distribution when applied to the location of logistics distribution centers. Finally, the improved bald eagle search algorithm is used to optimize the location model of logistics distribution center. The experimental results show that the improved bald eagle search algorithm has good solving ability in this problem, can be obtained to minimize the distribution cost, save the distribution cost effectively and improve the distribution efficiency. It can further optimize the logistics management system and increase the efficiency of logistics enterprises. Compared with similar algorithms, such as WOA, WCA, PSO, the results are improved.

Suggested Citation

  • Yanfen Tong & Xianbao Cheng, 2022. "Location of Logistics Distribution Center Based on Improved Bald Eagle Algorithm," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9036-:d:869873
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    References listed on IDEAS

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    2. An, Yu & Zeng, Bo & Zhang, Yu & Zhao, Long, 2014. "Reliable p-median facility location problem: two-stage robust models and algorithms," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 54-72.
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