A survey of adaptive large neighborhood search algorithms and applications

This article provides a survey on the highly popular metaheuristic framework, the adaptive large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this paper. Based on a simple taxonomy, the analysis of publication intensity, application areas, and the variant of ALNS features...

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Main Authors: Mara, Setyo Tri Windras, Norcahyo, Rahmadi, Jodiawan, Panca, Lusiantoro, Luluk, Rifai, Achmad Pratama
Format: Article
Language:English
Published: Elsevier 2022
Subjects:
Online Access:https://repository.ugm.ac.id/278606/1/Mara_TK.pdf
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author Mara, Setyo Tri Windras
Norcahyo, Rahmadi
Jodiawan, Panca
Lusiantoro, Luluk
Rifai, Achmad Pratama
author_facet Mara, Setyo Tri Windras
Norcahyo, Rahmadi
Jodiawan, Panca
Lusiantoro, Luluk
Rifai, Achmad Pratama
author_sort Mara, Setyo Tri Windras
collection UGM
description This article provides a survey on the highly popular metaheuristic framework, the adaptive large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this paper. Based on a simple taxonomy, the analysis of publication intensity, application areas, and the variant of ALNS features are executed on 252 scientific publications to synthesize the state-of-the-art of ALNS research. Finally, some discussions on the future research of ALNS are provided
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spelling oai:generic.eprints.org:2786062023-11-02T02:08:24Z https://repository.ugm.ac.id/278606/ A survey of adaptive large neighborhood search algorithms and applications Mara, Setyo Tri Windras Norcahyo, Rahmadi Jodiawan, Panca Lusiantoro, Luluk Rifai, Achmad Pratama Engineering Mechanical Engineering This article provides a survey on the highly popular metaheuristic framework, the adaptive large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this paper. Based on a simple taxonomy, the analysis of publication intensity, application areas, and the variant of ALNS features are executed on 252 scientific publications to synthesize the state-of-the-art of ALNS research. Finally, some discussions on the future research of ALNS are provided Elsevier 2022-06-09 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/278606/1/Mara_TK.pdf Mara, Setyo Tri Windras and Norcahyo, Rahmadi and Jodiawan, Panca and Lusiantoro, Luluk and Rifai, Achmad Pratama (2022) A survey of adaptive large neighborhood search algorithms and applications. Computers and Operations Research, 146 (2022). pp. 1-19. ISSN 1873-765X https://www.elsevier.com/locate/cor https://doi.org/10.1016/j.cor.2022.105903
spellingShingle Engineering
Mechanical Engineering
Mara, Setyo Tri Windras
Norcahyo, Rahmadi
Jodiawan, Panca
Lusiantoro, Luluk
Rifai, Achmad Pratama
A survey of adaptive large neighborhood search algorithms and applications
title A survey of adaptive large neighborhood search algorithms and applications
title_full A survey of adaptive large neighborhood search algorithms and applications
title_fullStr A survey of adaptive large neighborhood search algorithms and applications
title_full_unstemmed A survey of adaptive large neighborhood search algorithms and applications
title_short A survey of adaptive large neighborhood search algorithms and applications
title_sort survey of adaptive large neighborhood search algorithms and applications
topic Engineering
Mechanical Engineering
url https://repository.ugm.ac.id/278606/1/Mara_TK.pdf
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