Algorithms for routing optimization in multipoint to multipoint 4PL system
type: Item
instance of: scholarly article
title: Algorithms for routing optimization in multipoint to multipoint 4PL system
zbMATH Open document ID: 1418.90034
DOI: 10.1155/2015/426947
author: J. Li
author: Ying Zhang
author: Shida Xu
author: Yan-qiu Liu
published in: Discrete Dynamics in Nature and Society
publication date: 2019-02-19T00:00:00Z
review text: Summary: Fourth party logistics (4PL) has been receiving great attention and studied by researchers. This paper studies multipoint to multipoint 4PL system routing optimization with reliability constraints. Objective factors which cause disturbances of transportation time are taken into consideration. The mathematical model of the multipoint to multipoint multitask routing optimization in 4PL system with reliability constraints is set up. To solve the model, a Messy Genetic Algorithm (Messy GA) with double arrays encoding method is designed. The experimental result is compared with the Enumeration Algorithm (EA), and it shows that this algorithm can find the satisfactory solution and is a powerful optimization method for solving the problem.
Mathematics Subject Classification ID: 90B06
zbMATH DE Number: 7025356
describes a project that uses: BIOTC
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/426947
OpenAlex ID: W2138083242
Wikidata QID: Q59105896
description: scientific article; zbMATH DE number 7025356