Research on vehicle routing problem based on hybrid immune algorithm

Yingxin Liu; Huanzhao Yue

doi:10.1117/12.3039507

28 August 2024 Research on vehicle routing problem based on hybrid immune algorithm

Yingxin Liu, Huanzhao Yue

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132514Q (2024) https://doi.org/10.1117/12.3039507
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

The vehicle routing problem with capacity constraints is a NP-difficult combinatorial optimization problem, which cannot be solved effectively in a reasonable time by precise algorithm. In this paper, a hybrid immune algorithm is proposed to solve the vehicle routing problem with capacity constraints. The algorithm uses the immune algorithm to improve the global convergence ability, and adds the 2-opt neighborhood search algorithm to enhance the local search ability. The experimental results show that the proposed algorithm has high computational accuracy and strong optimization ability.

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

Citation Download Citation

Yingxin Liu and Huanzhao Yue "Research on vehicle routing problem based on hybrid immune algorithm", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132514Q (28 August 2024); https://doi.org/10.1117/12.3039507

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