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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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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1716844227260841984 |