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: | , , , , |
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| 格式: | Article PeerReviewed |
| 語言: | English |
| 出版: |
Elsevier
2022
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| 主題: | |
| 在線閱讀: | 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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| 機構: | Universitas Gadjah Mada |
| 語言: | English |
| 總結: | 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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