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Erschienen in: European Transport Research Review 1/2020

Open Access 01.12.2020 | Correction

Correction to: Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization

verfasst von: Giovanni Calabrò, Vincenza Torrisi, Giuseppe Inturri, Matteo Ignaccolo

Erschienen in: European Transport Research Review | Ausgabe 1/2020

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The original article can be found online at https://​doi.​org/​10.​1186/​s12544-020-00409-7
Correction to: European Transport Research Review (2020) 12: 21
https://doi.org/10.1186/s12544-020-00409-7
In the original publication of this article [1], a citation needs to be added in the section ‘1.1 The use of ant Colony optimization to solve the VRP’.
In the sentence ‘In general, ACO is conceived to find the minimum cost paths within a network, so it presents several applications to routing and scheduling problems and is of particular interest in transport problems (Calabrò, G., Inturri, G., Le Pira, M., Pluchino, A., & Ignaccolo, M.: Bridging the gap between weak-demand areas and public transport using an ant-colony simulation-based optimization. Forthcoming) [16].’, the mentioned article in parenthesis has been published before the publication of the article [1], and should be cited as [4] in the article [1]. All the citation numbers after [3] should be revised as well.
[4] Calabrò, G., Inturri, G., Le Pira, M., Pluchino, A., & Ignaccolo, M. (2020). Bridging the gap between weak-demand areas and public transport using an ant-colony simulation-based optimization. Transportation Research Procedia, 45, 234–241.
The original article has been updated.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.
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Zurück zum Zitat Calabrò, et al. (2020). Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization. European Transport Research Review, 12, 21.CrossRef Calabrò, et al. (2020). Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization. European Transport Research Review, 12, 21.CrossRef
Metadaten
Titel
Correction to: Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization
verfasst von
Giovanni Calabrò
Vincenza Torrisi
Giuseppe Inturri
Matteo Ignaccolo
Publikationsdatum
01.12.2020
Verlag
Springer International Publishing
Erschienen in
European Transport Research Review / Ausgabe 1/2020
Print ISSN: 1867-0717
Elektronische ISSN: 1866-8887
DOI
https://doi.org/10.1186/s12544-020-00422-w

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