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7 December 2023 Research on fresh food delivery path optimization based on genetic combined with greedy algorithm
Qiming Mai, Ruiqi Yang, Qiaoling Ma, Shaofeng Yu, Zihuan Xia
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Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129410B (2023) https://doi.org/10.1117/12.3011848
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
In view of the problems of fresh food distribution, this paper analyzes the actual situation of fresh food distribution, selects total cost minimization and customer satisfaction maximization as optimization objectives, then adds time windows and other constraints to construct a dual-objective reefer truck path planning model, and uses genetic algorithm combined with greedy algorithm to solve. The experimental simulation results show that the algorithm of the article has good planning effect in path planning.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Qiming Mai, Ruiqi Yang, Qiaoling Ma, Shaofeng Yu, and Zihuan Xia "Research on fresh food delivery path optimization based on genetic combined with greedy algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129410B (7 December 2023); https://doi.org/10.1117/12.3011848
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KEYWORDS
Carbon
Algorithms
Computer simulations
Roads
Standards development
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