Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.9%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: GRAFO-URJC
  • License: apache-2.0
  • Default Branch: main
  • Size: 11.7 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

NAME

Table of Contents

Abstract

Paper abstract or summary of the article submitted.

Authors

Person1

**Institution:** [Department Name, University Name](https://institution1.edu) **Email:** [person1@institution1.edu](mailto:person1@institution1.edu) **ORCID:** [0000-0000-0000-0001](https://orcid.org/0000-0000-0000-0001) **Role:** Lead researcher, methodology development

Person2

**Institution:** [Department Name, University Name](https://institution2.edu) **Email:** [person2@institution2.edu](mailto:person2@institution2.edu) **ORCID:** [0000-0000-0000-0002](https://orcid.org/0000-0000-0000-0002) **Role:** Data analysis, implementation

Datasets

Instances are categorized in different datasets inside the 'instances' folder. All instances are from the UCI Machine Learning Repository or reference to paper where they are from, etc.

Instance format

(Explain instance format so other users may easily use them even if not using your code.)

Development

Requirements and Dependencies

  • Java 11 or higher
  • Maven 3.6 or higher

Compiling

You can easily compile and build an executable artifact of this project using: text mvn clean package

Executing

There is a executable JAR inside the code folder.

Example 1: execute default experiment with the default set of instances text java -jar target/ACO.jar

Example 2: execute the default experiment using a different set of instances, located inside the newinstances folder. text java -jar target/ACO.jar --path=newinstances

Cite

Consider citing our paper if used in your own work: (Fill with the references to your own published work)

DOI

https://doi.org/XXXXXXX

Zenodo

https://doi.org/XXXXXXX

BibTeX

bibtex @article{ ... }

Powered by MORK (Metaheuristic Optimization framewoRK)

| Mork logo | Mork is a Java framework for easily solving hard optimization problems. You can create a project and try the framework in under one minute. See the documentation or the source code. | |--|--|

Owner

  • Name: GRAFO Research Group - Universidad Rey Juan Carlos
  • Login: GRAFO-URJC
  • Kind: organization
  • Email: josemanuel.colmenar@urjc.es
  • Location: Móstoles, Spain

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: My Graph Collection
message: >-
  If you use either the software or the instances, please
  cite it as below.
type: dataset
authors:
  - given-names: FirstName1
    family-names: LastName1
    orcid: 'https://orcid.org/0000-0000-0000-0000'
    email: email1@example.com
    affiliation: Affiliation1
  - given-names: FirstName2
    family-names: LastName2
    email: email2@example.com
    affiliation: Affiliation2
    orcid: 'https://orcid.org/0000-0000-0000-0000'
identifiers:
  - type: doi
    value: 10.1234/zenodo.4321
    description: >-
      Enlace a la plataforma de Zenodo con la última versión
      publicada del código
repository-code: 'https://github.com/username/repository'
abstract: >-
  In this repository, there are signed undirected graphs.
  These graphs are directly taken or adapted from other
  graphs.
keywords:
  - graphs
  - network
  - optimization
  - instances
  - graph layout problem
license: Apache-2.0

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