Distance based sweep nearest algorithm to solve capacitated vehicle routing problem

Capacitated Vehicle Routing Problem (CVRP) is a real life constraint satisfaction problem to find minimal travel distances to serve customers with homogeneous fleet of vehicles. Among several methods, Sweep algorithm in 2-phase approach is popular in solving CVRP. Sweep (SW) method solely depend...

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Main Authors: Akhand, M. A. H, Sultana, Tanzima, Peya, Zahrul Jannat, Rahman, M.M. Hafizur
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
Online Access:http://irep.iium.edu.my/51765/
http://irep.iium.edu.my/51765/
http://irep.iium.edu.my/51765/1/51765_Distance_based_Sweep_Nearest_Algorithm.pdf
id iium-51765
recordtype eprints
spelling iium-517652018-05-22T00:55:01Z http://irep.iium.edu.my/51765/ Distance based sweep nearest algorithm to solve capacitated vehicle routing problem Akhand, M. A. H Sultana, Tanzima Peya, Zahrul Jannat Rahman, M.M. Hafizur TK Electrical engineering. Electronics Nuclear engineering Capacitated Vehicle Routing Problem (CVRP) is a real life constraint satisfaction problem to find minimal travel distances to serve customers with homogeneous fleet of vehicles. Among several methods, Sweep algorithm in 2-phase approach is popular in solving CVRP. Sweep (SW) method solely depends on customers’ polar angle: sort the customers according to polar angle; and a cluster starts with customer having smallest polar angle and complete it considering others according to polar angle. On the other hand, Sweep Nearest (SN) algorithm, an extension of Sweep, also considers smallest polar angle customer to initialize a cluster but inserted other customer based on the nearest neighbor approach. This study investigates a different way of clustering based on nearest neighbor approach. The proposed Distance based Sweep Nearest (DSN) method starts clustering from the farthest customer point and continue for a cluster based on nearest neighbor concept. The proposed method does not rely on polar angle of the customers like SW and SN. To identify the effectiveness of the proposed approach, SW, SN and DSN have been implemented in this study. For route optimization, Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are considered in this study. The experimental studies on a large number of the benchmark CVRPs identified that proposed DSN outperformed SN and SW most of the cases and hence DSN with PSO is a suitable method for CVRP. 2016-08-22 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/51765/1/51765_Distance_based_Sweep_Nearest_Algorithm.pdf Akhand, M. A. H and Sultana, Tanzima and Peya, Zahrul Jannat and Rahman, M.M. Hafizur (2016) Distance based sweep nearest algorithm to solve capacitated vehicle routing problem. In: 2nd International Conference on Engineering, Technologies, and Social Sciences (ICETSS 2016), 22nd-24th Aug. 2016, Kuala Lumpur. (Unpublished) http://www.icetss.org/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Akhand, M. A. H
Sultana, Tanzima
Peya, Zahrul Jannat
Rahman, M.M. Hafizur
Distance based sweep nearest algorithm to solve capacitated vehicle routing problem
description Capacitated Vehicle Routing Problem (CVRP) is a real life constraint satisfaction problem to find minimal travel distances to serve customers with homogeneous fleet of vehicles. Among several methods, Sweep algorithm in 2-phase approach is popular in solving CVRP. Sweep (SW) method solely depends on customers’ polar angle: sort the customers according to polar angle; and a cluster starts with customer having smallest polar angle and complete it considering others according to polar angle. On the other hand, Sweep Nearest (SN) algorithm, an extension of Sweep, also considers smallest polar angle customer to initialize a cluster but inserted other customer based on the nearest neighbor approach. This study investigates a different way of clustering based on nearest neighbor approach. The proposed Distance based Sweep Nearest (DSN) method starts clustering from the farthest customer point and continue for a cluster based on nearest neighbor concept. The proposed method does not rely on polar angle of the customers like SW and SN. To identify the effectiveness of the proposed approach, SW, SN and DSN have been implemented in this study. For route optimization, Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are considered in this study. The experimental studies on a large number of the benchmark CVRPs identified that proposed DSN outperformed SN and SW most of the cases and hence DSN with PSO is a suitable method for CVRP.
format Conference or Workshop Item
author Akhand, M. A. H
Sultana, Tanzima
Peya, Zahrul Jannat
Rahman, M.M. Hafizur
author_facet Akhand, M. A. H
Sultana, Tanzima
Peya, Zahrul Jannat
Rahman, M.M. Hafizur
author_sort Akhand, M. A. H
title Distance based sweep nearest algorithm to solve capacitated vehicle routing problem
title_short Distance based sweep nearest algorithm to solve capacitated vehicle routing problem
title_full Distance based sweep nearest algorithm to solve capacitated vehicle routing problem
title_fullStr Distance based sweep nearest algorithm to solve capacitated vehicle routing problem
title_full_unstemmed Distance based sweep nearest algorithm to solve capacitated vehicle routing problem
title_sort distance based sweep nearest algorithm to solve capacitated vehicle routing problem
publishDate 2016
url http://irep.iium.edu.my/51765/
http://irep.iium.edu.my/51765/
http://irep.iium.edu.my/51765/1/51765_Distance_based_Sweep_Nearest_Algorithm.pdf
first_indexed 2023-09-18T21:13:23Z
last_indexed 2023-09-18T21:13:23Z
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