Multi-constraint vehicle routing problem based on improved honey badger algorithm

Chunxiao Li; Lei Zhou; Suxin Wang

doi:10.1117/12.3049814

8 November 2024 Multi-constraint vehicle routing problem based on improved honey badger algorithm

Chunxiao Li, Lei Zhou, Suxin Wang

Author Affiliations +

Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 1341607 (2024) https://doi.org/10.1117/12.3049814
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China

Abstract

Aiming at the vehicle routing problem (VRP) in modern logistics system, this paper proposes a multi-constraint vehicle routing problem optimization model with time window, considering the diversity of cargo circulation and vehicle transportation efficiency, allowing vehicles to disperse operation at nodes and improve the transportation performance. In this paper, the improved honey badger algorithm (IHBA) is adopted to introduce Cubic chaotic mapping and random perturbation strategy, and the elite tangent search and differential variation strategy are adopted to enhance the global search and avoid premature convergence.IHBA Validates Potential to Solve Complex Vehicle routing Problems and Demonstrates Theoretical Practical Value of VRP Research and Logistics and Distribution at CEC2017.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chunxiao Li, Lei Zhou, and Suxin Wang "Multi-constraint vehicle routing problem based on improved honey badger algorithm", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 1341607 (8 November 2024); https://doi.org/10.1117/12.3049814

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