A Dynamic Logistics Strategy for Dangerous Goods Based on Cloud Computing

Aiming at the dynamic vehicle routing problem of dangerous goods under a dynamic environment, a mathematical model is established, which is to minimize the risk cost and distribution mileage in the road segment and to maximize the freight load factor. Here a cloud-based adaptive ant colony algorithm...

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Main Authors: Xuan Jiao, Tao Ning
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2018-09-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/9001
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spelling doaj-7834b99bf24847818295213ceb54df852021-02-16T21:24:09ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162018-09-016710.3303/CET1867115A Dynamic Logistics Strategy for Dangerous Goods Based on Cloud ComputingXuan JiaoTao NingAiming at the dynamic vehicle routing problem of dangerous goods under a dynamic environment, a mathematical model is established, which is to minimize the risk cost and distribution mileage in the road segment and to maximize the freight load factor. Here a cloud-based adaptive ant colony algorithm is proposed. There are crossover and mutation operations in ant colony algorithm that may lead to premature convergence and loss of late diversity. With the characteristics of dangerous goods logistics, cloud computing is introduced to design cloud crossover and mutation operators to operate this algorithm in response to the above gap. On this basis, the proposed algorithm can be improved in the context that the simulation schedule example will reduce premature probability and enhance the iterative search efficiency more than other algorithms.https://www.cetjournal.it/index.php/cet/article/view/9001
collection DOAJ
language English
format Article
sources DOAJ
author Xuan Jiao
Tao Ning
spellingShingle Xuan Jiao
Tao Ning
A Dynamic Logistics Strategy for Dangerous Goods Based on Cloud Computing
Chemical Engineering Transactions
author_facet Xuan Jiao
Tao Ning
author_sort Xuan Jiao
title A Dynamic Logistics Strategy for Dangerous Goods Based on Cloud Computing
title_short A Dynamic Logistics Strategy for Dangerous Goods Based on Cloud Computing
title_full A Dynamic Logistics Strategy for Dangerous Goods Based on Cloud Computing
title_fullStr A Dynamic Logistics Strategy for Dangerous Goods Based on Cloud Computing
title_full_unstemmed A Dynamic Logistics Strategy for Dangerous Goods Based on Cloud Computing
title_sort dynamic logistics strategy for dangerous goods based on cloud computing
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2018-09-01
description Aiming at the dynamic vehicle routing problem of dangerous goods under a dynamic environment, a mathematical model is established, which is to minimize the risk cost and distribution mileage in the road segment and to maximize the freight load factor. Here a cloud-based adaptive ant colony algorithm is proposed. There are crossover and mutation operations in ant colony algorithm that may lead to premature convergence and loss of late diversity. With the characteristics of dangerous goods logistics, cloud computing is introduced to design cloud crossover and mutation operators to operate this algorithm in response to the above gap. On this basis, the proposed algorithm can be improved in the context that the simulation schedule example will reduce premature probability and enhance the iterative search efficiency more than other algorithms.
url https://www.cetjournal.it/index.php/cet/article/view/9001
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AT taoning dynamiclogisticsstrategyfordangerousgoodsbasedoncloudcomputing
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