Optimization of Chemical Logistics Siting based on Improved ACO

Optimization of Chemical Logistics Siting based on Improved ACO

This paper aims to study the optimization of chemical logistics site selection through the improved ant colony optimization algorithm. Specifically, by integrating a number of domestic and foreign literatures, this paper built an improved ant colony optimization model to assign customers of differen...

Full description

Bibliographic Details
Main Author: Wei Li
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2018-07-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/2897
id doaj-e83e3622e0364d13a0e06e6f52c6ffda
record_format Article
spelling doaj-e83e3622e0364d13a0e06e6f52c6ffda2021-02-17T21:01:04ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162018-07-016610.3303/CET1866239Optimization of Chemical Logistics Siting based on Improved ACOWei LiThis paper aims to study the optimization of chemical logistics site selection through the improved ant colony optimization algorithm. Specifically, by integrating a number of domestic and foreign literatures, this paper built an improved ant colony optimization model to assign customers of different sizes, calculated the operating costs of the chemical logistics distribution center through relevant financial indicators, and then presented an optimization plan for chemical logistics site selection. Results have shown that the optimization of chemical logistics site selection based on the improved ant colony optimization can shorten the delivery time. It is concluded that the improved ant colony optimization model can provide sound solutions for site selection of large-scale chemical logistics with a complex logistics chain, and thus can be highly promoted and widely applied.https://www.cetjournal.it/index.php/cet/article/view/2897
collection DOAJ
language English
format Article
sources DOAJ
author Wei Li
spellingShingle Wei Li
Optimization of Chemical Logistics Siting based on Improved ACO
Chemical Engineering Transactions
author_facet Wei Li
author_sort Wei Li
title Optimization of Chemical Logistics Siting based on Improved ACO
title_short Optimization of Chemical Logistics Siting based on Improved ACO
title_full Optimization of Chemical Logistics Siting based on Improved ACO
title_fullStr Optimization of Chemical Logistics Siting based on Improved ACO
title_full_unstemmed Optimization of Chemical Logistics Siting based on Improved ACO
title_sort optimization of chemical logistics siting based on improved aco
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2018-07-01
description This paper aims to study the optimization of chemical logistics site selection through the improved ant colony optimization algorithm. Specifically, by integrating a number of domestic and foreign literatures, this paper built an improved ant colony optimization model to assign customers of different sizes, calculated the operating costs of the chemical logistics distribution center through relevant financial indicators, and then presented an optimization plan for chemical logistics site selection. Results have shown that the optimization of chemical logistics site selection based on the improved ant colony optimization can shorten the delivery time. It is concluded that the improved ant colony optimization model can provide sound solutions for site selection of large-scale chemical logistics with a complex logistics chain, and thus can be highly promoted and widely applied.
url https://www.cetjournal.it/index.php/cet/article/view/2897
work_keys_str_mv AT weili optimizationofchemicallogisticssitingbasedonimprovedaco
_version_ 1724264706757099520

Similar Items