DATASETS MATHEMATICS

MDDVRPSRCV1_TEST_INSTANCE

The proposed test instance is aimed towards VRP problem that addressed in general the multi depots, homogeneous/ heterogeneous vehicles, as well as a set of road capacity for different edges that may or may not sustained a certain level of damages. We apply this dataset for the application of routing under disaster scenario that speaks for the damaged and limited capacity of the edges/ roads in the road network. The instance problem consists of road network mapped in Euclidean distance where the road capacity of edges, depots, shelters, and connecting nodes coordinates as well as demand of shelters are fixed. Meanwhile the "damage" file addressed the damage value of edges within the network due to an event triggered from a single point.

URL Reference: https://data.mendeley.com/datasets/nt6j9c8653/2

DATASET SOURCES

Each instance is an excel file containing: 1) number of depots, connecting nodes and shelters + (optional fix vehicle number under "M") 2) the coordinate of each node (depot, shelter, connecting nodes) 3) the road capacity of edges in the network 4) the demands for each shelters 5) road network map (figure)
HDFS | Creative Commons License License 		Date Upload : 11/05/2023
Total File In Folder : 1
Total Size : 1.04 MB
Total Download : 0
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Fakulti Perubatan Dan Sains Kesihatan [25]
Fakulti Sains [18]
Fakulti Bioteknologi Dan Sains Biomolekul [6]
Fakulti Sains Komputer Dan Teknologi Maklumat [1]
Fakulti Bahasa Moden Dan Komunikasi [2]
Fakulti Kejuruteraan [2]
Institut Pertanian Tropika Dan Sekuriti Makanan [1]
Institut Gerontologi [2]
Institut Biosains [2]
Fakulti Sains Dan Teknologi Makanan [1]
Pusat Pembangunan Maklumat Dan Komunikasi [1]
Fakulti Ekonomi Dan Pengurusan [2]
Fakulti Perubatan Veterinar [4]
Fakulti Pertanian [8]
Fakulti Ekologi Manusia [2]
Institut Penyelidikan Produk Halal [1]
Institut Penyelidikan Matematik [1]
Fakulti Sains Pertanian Dan Makanan [2]
Institut Perhutanan Tropika Dan Produk Hutan [2]
Kampus Upm Bintulu [1]
Fakulti Perhutanan [6]

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Keyword

[Operations Research] , [ Combinatorial Optimization]