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22 December 2022 Delivery strategy under epidemic based on neural network and ALNS
Hao Yin, Chenxu Zhang, Jie Yin, Canrong Zhang
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Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 1246044 (2022) https://doi.org/10.1117/12.2657956
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China
Abstract
Under the background of the continuous spread of covid-19, fresh food delivery platforms need to make decisions on how to incorporate epidemic factors into their delivery strategies. In this paper, considering the factors of large activity range, long path, low efficiency and high risk of delivery staff in reservation-type fresh food delivery, combined with the perspective of delivery platform, a path planning model is constructed. we apply the ALNS algorithm to the proposed model and compares it with other classical heuristic algorithms. The results show that our proposed model can effectively reduce risks and improve delivery efficiency.
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Hao Yin, Chenxu Zhang, Jie Yin, and Canrong Zhang "Delivery strategy under epidemic based on neural network and ALNS", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 1246044 (22 December 2022); https://doi.org/10.1117/12.2657956
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KEYWORDS
Neural networks
Evolutionary algorithms
Particle swarm optimization
Genetic algorithms
Mathematical modeling
Statistical modeling
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