Path Optimization of Joint Delivery Mode of Trucks and UAVs

With the development of e-commerce and information technology, new modes of distribution are emerging. A new type of distribution tool, UAV (unmanned aerial vehicle), has entered into the public’s field of vision. In the background of growing e-commerce, this paper proposes a new delivery mode of jo...

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Autores principales: Qingkui Cao, Xuefei Zhang, Xiangyang Ren
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/5feb9c8d0dce465a9aa4672618db0a9b
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spelling oai:doaj.org-article:5feb9c8d0dce465a9aa4672618db0a9b2021-11-29T00:57:12ZPath Optimization of Joint Delivery Mode of Trucks and UAVs1563-514710.1155/2021/4670997https://doaj.org/article/5feb9c8d0dce465a9aa4672618db0a9b2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4670997https://doaj.org/toc/1563-5147With the development of e-commerce and information technology, new modes of distribution are emerging. A new type of distribution tool, UAV (unmanned aerial vehicle), has entered into the public’s field of vision. In the background of growing e-commerce, this paper proposes a new delivery mode of joint delivery of trucks and UAVs which particularly has been popular in recent years, with the advantages of prompt delivery, low cost, and independence from terrain restrictions, while traditional transportation tools such as trucks have more advantages in terms of flight distance and load capacity. Therefore, the joint delivery mode of trucks and UAVs proposed in this paper can well realize the complementary advantages of trucks and UAVs in the distribution process and consequently optimize the distribution process. Moreover, the growing e-commerce promotes customers’ higher needs for delivery efficiency and the integrity of the delivered goods which urges companies to pay more attention to customers’ satisfaction. This paper analyzes the joint delivery mode of trucks and UAVs, aims to minimize total delivery cost and maximize customer satisfaction, and builds a multiobjective optimization model for joint delivery. Furthermore, an improved ant colony algorithm is proposed in order to solve the mode in this paper. In order to effectively avoid prematurity of the ant colony algorithm, the limited pheromone concentration and the classification idea of the artificial bee colony algorithm are introduced to improve the ant colony algorithm. Finally, some experiments are simulated by MATLAB software, and the comparison shows that the joint delivery of trucks and UAVs has more advantages, and the improved ant colony algorithm is more efficient than the traditional ant colony.Qingkui CaoXuefei ZhangXiangyang RenHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
spellingShingle Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
Qingkui Cao
Xuefei Zhang
Xiangyang Ren
Path Optimization of Joint Delivery Mode of Trucks and UAVs
description With the development of e-commerce and information technology, new modes of distribution are emerging. A new type of distribution tool, UAV (unmanned aerial vehicle), has entered into the public’s field of vision. In the background of growing e-commerce, this paper proposes a new delivery mode of joint delivery of trucks and UAVs which particularly has been popular in recent years, with the advantages of prompt delivery, low cost, and independence from terrain restrictions, while traditional transportation tools such as trucks have more advantages in terms of flight distance and load capacity. Therefore, the joint delivery mode of trucks and UAVs proposed in this paper can well realize the complementary advantages of trucks and UAVs in the distribution process and consequently optimize the distribution process. Moreover, the growing e-commerce promotes customers’ higher needs for delivery efficiency and the integrity of the delivered goods which urges companies to pay more attention to customers’ satisfaction. This paper analyzes the joint delivery mode of trucks and UAVs, aims to minimize total delivery cost and maximize customer satisfaction, and builds a multiobjective optimization model for joint delivery. Furthermore, an improved ant colony algorithm is proposed in order to solve the mode in this paper. In order to effectively avoid prematurity of the ant colony algorithm, the limited pheromone concentration and the classification idea of the artificial bee colony algorithm are introduced to improve the ant colony algorithm. Finally, some experiments are simulated by MATLAB software, and the comparison shows that the joint delivery of trucks and UAVs has more advantages, and the improved ant colony algorithm is more efficient than the traditional ant colony.
format article
author Qingkui Cao
Xuefei Zhang
Xiangyang Ren
author_facet Qingkui Cao
Xuefei Zhang
Xiangyang Ren
author_sort Qingkui Cao
title Path Optimization of Joint Delivery Mode of Trucks and UAVs
title_short Path Optimization of Joint Delivery Mode of Trucks and UAVs
title_full Path Optimization of Joint Delivery Mode of Trucks and UAVs
title_fullStr Path Optimization of Joint Delivery Mode of Trucks and UAVs
title_full_unstemmed Path Optimization of Joint Delivery Mode of Trucks and UAVs
title_sort path optimization of joint delivery mode of trucks and uavs
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/5feb9c8d0dce465a9aa4672618db0a9b
work_keys_str_mv AT qingkuicao pathoptimizationofjointdeliverymodeoftrucksanduavs
AT xuefeizhang pathoptimizationofjointdeliverymodeoftrucksanduavs
AT xiangyangren pathoptimizationofjointdeliverymodeoftrucksanduavs
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