Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”

This data article contains data related to the research article entitled, “Solving the multi-vehicle multi-covering tour problem” (Pham et al., 2017) [4]. All data of this article was generated from instances kroA100, kroB100, kroC100, kroD100, kroA200, and kroB200 from TSPLIB. It can be downloaded...

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Detalles Bibliográficos
Autores principales: Pham, Tuan Anh, Hà, Minh Hoàng, Nguyen, Xuan Hoai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Computer Sciences   
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996729/
https://www.ncbi.nlm.nih.gov/pubmed/29900288
http://dx.doi.org/10.1016/j.dib.2018.03.106
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author Pham, Tuan Anh
Hà, Minh Hoàng
Nguyen, Xuan Hoai
author_facet Pham, Tuan Anh
Hà, Minh Hoàng
Nguyen, Xuan Hoai
author_sort Pham, Tuan Anh
collection PubMed
description This data article contains data related to the research article entitled, “Solving the multi-vehicle multi-covering tour problem” (Pham et al., 2017) [4]. All data of this article was generated from instances kroA100, kroB100, kroC100, kroD100, kroA200, and kroB200 from TSPLIB. It can be downloaded from public repository. This data can be used as benchmarks for the covering tour problem (CTP) variants, such as m-CTP-p, m-CTP, mm-CTP-p, mm-CTP, mm-CTP-o, mm-CTP-wo. We tested our algorithm on these data and results are shown in Pham et al. (2017) [4].
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spelling pubmed-59967292018-06-13 Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem” Pham, Tuan Anh Hà, Minh Hoàng Nguyen, Xuan Hoai Data Brief Computer Sciences    This data article contains data related to the research article entitled, “Solving the multi-vehicle multi-covering tour problem” (Pham et al., 2017) [4]. All data of this article was generated from instances kroA100, kroB100, kroC100, kroD100, kroA200, and kroB200 from TSPLIB. It can be downloaded from public repository. This data can be used as benchmarks for the covering tour problem (CTP) variants, such as m-CTP-p, m-CTP, mm-CTP-p, mm-CTP, mm-CTP-o, mm-CTP-wo. We tested our algorithm on these data and results are shown in Pham et al. (2017) [4]. Elsevier 2018-03-27 /pmc/articles/PMC5996729/ /pubmed/29900288 http://dx.doi.org/10.1016/j.dib.2018.03.106 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Sciences   
Pham, Tuan Anh
Hà, Minh Hoàng
Nguyen, Xuan Hoai
Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”
title Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”
title_full Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”
title_fullStr Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”
title_full_unstemmed Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”
title_short Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”
title_sort description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”
topic Computer Sciences   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996729/
https://www.ncbi.nlm.nih.gov/pubmed/29900288
http://dx.doi.org/10.1016/j.dib.2018.03.106
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