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
Descripción
Sumario: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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