A survey of adaptive large neighborhood search algorithms and applications

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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Bibliographic Details
Main Authors: Mara, Setyo Tri Windras, Norcahyo, Rahmadi, Jodiawan, Panca, Lusiantoro, Luluk, Rifai, Achmad Pratama
Format: Article PeerReviewed
Language:English
Published: Elsevier 2022
Subjects:
Engineering
Mechanical Engineering
Online Access:https://repository.ugm.ac.id/278606/1/Mara_TK.pdf
https://repository.ugm.ac.id/278606/
https://www.elsevier.com/locate/cor
https://doi.org/10.1016/j.cor.2022.105903
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Institution: Universitas Gadjah Mada
Language: English
Description
Summary: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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