Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.4%) to scientific vocabulary
Repository
data and code for usecase on GDO allocation
Basic Info
- Host: GitHub
- Owner: maniezzo
- Language: C++
- Default Branch: master
- Size: 111 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
dockDoors
Forecast and optimizaton in a yard logistic setting
Repository of all codes and data reported in the papers: ....
The repository contains several unreported and non-exiting tests, in addition to the code that generates the reported results.
Directories:
- boosting: generates the boosted sets
- boost_forecast: predictive module, boosting and standard forecasts
- data: original and intermediate instance data
- generator: generator for the extended benchmark set
- lagrangian: a lagrangian matheuristic for solving the problem, abandoned
- old-soco: data and codes used for the paper maniezzo, tingting 2023
- results: all results of the optimizations
- stochastic: code for the prescriptive module
Owner
- Name: Vittorio Maniezzo
- Login: maniezzo
- Kind: user
- Location: Italia
- Repositories: 3
- Profile: https://github.com/maniezzo
Citation (CITATION.cff)
cff-version: 1.2.0
title: GDOforecast
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Vittorio
family-names: Maniezzo
email: vittorio.maniezzo@unibo.it
orcid: 'https://orcid.org/0000-0002-1220-1235'
GitHub Events
Total
- Push event: 42
Last Year
- Push event: 42