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Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem

Vehicle Routing Problem (VRP) is one of the key issues in optimization of modern logistics system. In this paper, a modified VRP model with hard time window is established and a Hybrid Optimization Algorithm (HOA) based on Fractal Space Filling Curves (SFC) method and Genetic Algorithm (GA) is intro...

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Detalles Bibliográficos
Autores principales: Yue, Yi-xiang, Zhang, Tong, Yue, Qun-xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488077/
https://www.ncbi.nlm.nih.gov/pubmed/26167171
http://dx.doi.org/10.1155/2015/375163
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author Yue, Yi-xiang
Zhang, Tong
Yue, Qun-xing
author_facet Yue, Yi-xiang
Zhang, Tong
Yue, Qun-xing
author_sort Yue, Yi-xiang
collection PubMed
description Vehicle Routing Problem (VRP) is one of the key issues in optimization of modern logistics system. In this paper, a modified VRP model with hard time window is established and a Hybrid Optimization Algorithm (HOA) based on Fractal Space Filling Curves (SFC) method and Genetic Algorithm (GA) is introduced. By incorporating the proposed algorithm, SFC method can find an initial and feasible solution very fast; GA is used to improve the initial solution. Thereafter, experimental software was developed and a large number of experimental computations from Solomon's benchmark have been studied. The experimental results demonstrate the feasibility and effectiveness of the HOA.
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spelling pubmed-44880772015-07-12 Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem Yue, Yi-xiang Zhang, Tong Yue, Qun-xing Comput Intell Neurosci Research Article Vehicle Routing Problem (VRP) is one of the key issues in optimization of modern logistics system. In this paper, a modified VRP model with hard time window is established and a Hybrid Optimization Algorithm (HOA) based on Fractal Space Filling Curves (SFC) method and Genetic Algorithm (GA) is introduced. By incorporating the proposed algorithm, SFC method can find an initial and feasible solution very fast; GA is used to improve the initial solution. Thereafter, experimental software was developed and a large number of experimental computations from Solomon's benchmark have been studied. The experimental results demonstrate the feasibility and effectiveness of the HOA. Hindawi Publishing Corporation 2015 2015-06-16 /pmc/articles/PMC4488077/ /pubmed/26167171 http://dx.doi.org/10.1155/2015/375163 Text en Copyright © 2015 Yi-xiang Yue et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yue, Yi-xiang
Zhang, Tong
Yue, Qun-xing
Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem
title Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem
title_full Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem
title_fullStr Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem
title_full_unstemmed Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem
title_short Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem
title_sort improved fractal space filling curves hybrid optimization algorithm for vehicle routing problem
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488077/
https://www.ncbi.nlm.nih.gov/pubmed/26167171
http://dx.doi.org/10.1155/2015/375163
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