Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem

Vehicle routing problem is a widely researched combinatorial optimization problem. We developed a hybrid of three strategies—a modified ant system, a sweep algorithm, and a path relinking—for solving a capacitated vehicle routing optimization problem, a vehicle routing problem with a capacity constr...

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Main Authors: Arit Thammano, Petcharat Rungwachira
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021021320
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spelling doaj-acb339acecaf4b8a98ca649a552113be2021-10-04T10:53:16ZengElsevierHeliyon2405-84402021-09-0179e08029Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problemArit Thammano0Petcharat Rungwachira1Corresponding author.; Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, ThailandFaculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, ThailandVehicle routing problem is a widely researched combinatorial optimization problem. We developed a hybrid of three strategies—a modified ant system, a sweep algorithm, and a path relinking—for solving a capacitated vehicle routing optimization problem, a vehicle routing problem with a capacity constraint. A sweep algorithm was used to generate initial solutions and assign customers to vehicles, followed by a modified ant system to generate new generations of good solutions. Path relinking was used for building a better solution (candidate) from a pair of guiding and initial solutions. Finally, a local search method—swap, insert, reverse and greedy search operations—was used to prevent solutions from getting trapped in a local minimum. Performance of the proposed algorithm was evaluated on three datasets from CVRPLIB. Our proposed method was at least competitive to state-of-the-art algorithms in terms of the total route lengths. It even surpassed the best-known solution in the P-n55-k8 instance. Our findings can lower the transportation cost by reducing the travelling distance and efficiently utilizing the vehicle capacity.http://www.sciencedirect.com/science/article/pii/S2405844021021320Vehicle Routing Problem (VRP)Capacitated Vehicle Routing Problem (CVRP)Sweep Algorithm (SA)Modified Ant System (MAS)Path Relinking (PR)
collection DOAJ
language English
format Article
sources DOAJ
author Arit Thammano
Petcharat Rungwachira
spellingShingle Arit Thammano
Petcharat Rungwachira
Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem
Heliyon
Vehicle Routing Problem (VRP)
Capacitated Vehicle Routing Problem (CVRP)
Sweep Algorithm (SA)
Modified Ant System (MAS)
Path Relinking (PR)
author_facet Arit Thammano
Petcharat Rungwachira
author_sort Arit Thammano
title Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem
title_short Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem
title_full Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem
title_fullStr Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem
title_full_unstemmed Hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem
title_sort hybrid modified ant system with sweep algorithm and path relinking for the capacitated vehicle routing problem
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2021-09-01
description Vehicle routing problem is a widely researched combinatorial optimization problem. We developed a hybrid of three strategies—a modified ant system, a sweep algorithm, and a path relinking—for solving a capacitated vehicle routing optimization problem, a vehicle routing problem with a capacity constraint. A sweep algorithm was used to generate initial solutions and assign customers to vehicles, followed by a modified ant system to generate new generations of good solutions. Path relinking was used for building a better solution (candidate) from a pair of guiding and initial solutions. Finally, a local search method—swap, insert, reverse and greedy search operations—was used to prevent solutions from getting trapped in a local minimum. Performance of the proposed algorithm was evaluated on three datasets from CVRPLIB. Our proposed method was at least competitive to state-of-the-art algorithms in terms of the total route lengths. It even surpassed the best-known solution in the P-n55-k8 instance. Our findings can lower the transportation cost by reducing the travelling distance and efficiently utilizing the vehicle capacity.
topic Vehicle Routing Problem (VRP)
Capacitated Vehicle Routing Problem (CVRP)
Sweep Algorithm (SA)
Modified Ant System (MAS)
Path Relinking (PR)
url http://www.sciencedirect.com/science/article/pii/S2405844021021320
work_keys_str_mv AT aritthammano hybridmodifiedantsystemwithsweepalgorithmandpathrelinkingforthecapacitatedvehicleroutingproblem
AT petcharatrungwachira hybridmodifiedantsystemwithsweepalgorithmandpathrelinkingforthecapacitatedvehicleroutingproblem
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