A large neighbourhood search to solve capacitated planar location-allocation problem

This paper presents a large neighbourhood search for solving the planar location-allocation problem. This location-allocation problem entails to find the location of specified number of facilities on a plane and their customer allocations on a plane. It is generally assumed that all facilities have...

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Main Authors: Luis, Martino, Lamsali, Hendrik, Surya Saputra, Ruswiati
Format: Conference or Workshop Item
Published: 2014
Subjects:
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author Luis, Martino
Lamsali, Hendrik
Surya Saputra, Ruswiati
author_facet Luis, Martino
Lamsali, Hendrik
Surya Saputra, Ruswiati
author_sort Luis, Martino
collection UUM
description This paper presents a large neighbourhood search for solving the planar location-allocation problem. This location-allocation problem entails to find the location of specified number of facilities on a plane and their customer allocations on a plane. It is generally assumed that all facilities have the same given capacity. A greedy algorithm is used to generate initial solutions and then an exchange neighborhood procedure is put forward to explore large neighborhood heuristically. The experiments are conducted to assess the performance of the proposed method using benchmark data sets taken from the facility location literature. The preliminary computational results show that the proposed methods provide competitive results when compared to the best known results from the literature. Some future research investigations on this capacitated planar location problem are also briefly highlighted.
first_indexed 2024-07-04T06:08:10Z
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institution Universiti Utara Malaysia
last_indexed 2024-07-04T06:08:10Z
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spelling uum-185982016-08-21T07:47:57Z https://repo.uum.edu.my/id/eprint/18598/ A large neighbourhood search to solve capacitated planar location-allocation problem Luis, Martino Lamsali, Hendrik Surya Saputra, Ruswiati QA75 Electronic computers. Computer science This paper presents a large neighbourhood search for solving the planar location-allocation problem. This location-allocation problem entails to find the location of specified number of facilities on a plane and their customer allocations on a plane. It is generally assumed that all facilities have the same given capacity. A greedy algorithm is used to generate initial solutions and then an exchange neighborhood procedure is put forward to explore large neighborhood heuristically. The experiments are conducted to assess the performance of the proposed method using benchmark data sets taken from the facility location literature. The preliminary computational results show that the proposed methods provide competitive results when compared to the best known results from the literature. Some future research investigations on this capacitated planar location problem are also briefly highlighted. 2014-08-12 Conference or Workshop Item PeerReviewed Luis, Martino and Lamsali, Hendrik and Surya Saputra, Ruswiati (2014) A large neighbourhood search to solve capacitated planar location-allocation problem. In: International Conference on Quantitative Sciences and Its Applications (ICOQSIA 2014), 12–14 August 2014, Langkawi, Kedah Malaysia. http://doi.org/10.1063/1.4903646 doi:10.1063/1.4903646 doi:10.1063/1.4903646
spellingShingle QA75 Electronic computers. Computer science
Luis, Martino
Lamsali, Hendrik
Surya Saputra, Ruswiati
A large neighbourhood search to solve capacitated planar location-allocation problem
title A large neighbourhood search to solve capacitated planar location-allocation problem
title_full A large neighbourhood search to solve capacitated planar location-allocation problem
title_fullStr A large neighbourhood search to solve capacitated planar location-allocation problem
title_full_unstemmed A large neighbourhood search to solve capacitated planar location-allocation problem
title_short A large neighbourhood search to solve capacitated planar location-allocation problem
title_sort large neighbourhood search to solve capacitated planar location allocation problem
topic QA75 Electronic computers. Computer science
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