An XGBoost-enhanced fast constructive algorithm for food delivery route planning problem

Author:

Wang Xing,Wang Ling,Wang Shengyao,Chen Jing-fang,Wu Chuge

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference36 articles.

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2. Bengio, Y., Lodi, A., & Prouvost, A. (2020). Machine learning for combinatorial optimization: A methodological tour d’horizon. ArXiv:1811.06128 [Cs, Stat]. http://arxiv.org/abs/1811.06128.

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4. Chen, T., & Guestrin, C. (2016, August). XGBoost: A scalable tree boosting system. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785–794. San Francisco, CA, US. https://doi.org/10.1145/2939672.2939785.

5. Machine learning-based parameter tuned genetic algorithm for energy minimizing vehicle routing problem;Cooray;Journal of Industrial Engineering,2017

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