A green vehicle routing problem with pick-up and delivery based on an improved firefly algorithm

Qian Zhou; Zhibin Wu

doi:10.1117/12.3009404

11 October 2023 A green vehicle routing problem with pick-up and delivery based on an improved firefly algorithm

Qian Zhou, Zhibin Wu

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129180A (2023) https://doi.org/10.1117/12.3009404
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

Carbon emissions produced by logistics distribution have an obvious impact on the environment. A critical problem in logistics distribution research is the green vehicle routing problem. This paper investigates a green vehicle routing problem with pick-up and delivery and soft time windows for a single depot. The problem is developed as a single-objective mixed integer nonlinear programming model. The model aims to minimize fuel costs based on vehicle load and penalty costs for violating time windows while satisfying customer pick-up and delivery demands. This paper proposes an improved firefly algorithm based on chaotic initialization and differential evolution to solve the model. The results show that the proposed model minimizes fuel costs while minimizing the increase in penalty costs. Compared with a traditional heuristic algorithm, the improved firefly algorithm has higher solved precision.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qian Zhou and Zhibin Wu "A green vehicle routing problem with pick-up and delivery based on an improved firefly algorithm", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129180A (11 October 2023); https://doi.org/10.1117/12.3009404

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