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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Main Authors: Tuan Anh Pham, Minh Hoàng Hà, Xuan Hoai Nguyen
Format: Article
Language:English
Published: Elsevier 2018-06-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918303196
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author Tuan Anh Pham
Minh Hoàng Hà
Xuan Hoai Nguyen
author_facet Tuan Anh Pham
Minh Hoàng Hà
Xuan Hoai Nguyen
author_sort Tuan Anh Pham
collection DOAJ
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 doaj.art-bce04b490a704fec8e4acda810d5ef0b2022-12-21T19:20:14ZengElsevierData in Brief2352-34092018-06-011811461148Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”Tuan Anh Pham0Minh Hoàng Hà1Xuan Hoai Nguyen2Military Logistics Research Center, Military Logistics Academy, Vietnam; GRD Department, VNG Corporation, VietnamUniversity of Engineering and Technology, VNU, Vietnam; FPT Technology Research Institute, FPT University, VietnamIT R&D Center, Hanoi University, Vietnam; Corresponding author.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].http://www.sciencedirect.com/science/article/pii/S2352340918303196
spellingShingle Tuan Anh Pham
Minh Hoàng Hà
Xuan Hoai Nguyen
Description of the datasets for the experiments in the paper “solving the multi-vehicle multi-covering tour problem”
Data in Brief
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
url http://www.sciencedirect.com/science/article/pii/S2352340918303196
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