MaOEA

R Many-Objective Evolutionary Algorithms

https://github.com/dots26/maoea

Science Score: 10.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    6 of 8 committers (75.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

R Many-Objective Evolutionary Algorithms

Basic Info
  • Host: GitHub
  • Owner: dots26
  • Language: R
  • Default Branch: master
  • Size: 359 KB
Statistics
  • Stars: 6
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Created over 7 years ago · Last pushed over 3 years ago
Metadata Files
Readme

README.md

MaOEA Build Status

The goal of MaOEA is to facilitate easy hybridization of algorithms for many objective optimization. In the package, several algorithms are available: SMS-EMOA, NSGA-III, and MO-CMA-ES. Each of these algorithms can be accessed independently. Using the main function, the algorithms can be called for specific number of iterations. Alternatively, if the hybridization follows a more complex rule, users may prefer to call the algorithm directly in their optimization loop. This will call the algorithm (i.e., the offspring generation and selection scheme) for a single iteration.

The package uses PyGMO (https://esa.github.io/pagmo2/) to compute hypervolume and hypervolume contribution.

Installation

You can install the released version of MaOEA from CRAN with:

r install.packages("MaOEA")

Please note that MaOEA requires the users to have installed Python (see https://www.python.org) and being able to use the PyGMO module. Installation instruction for PyGMO is available in https://esa.github.io/pagmo2/install.html. Users can also try to use the function provided in the package:

r MaOEA::install_python_dependencies()

Owner

  • Name: Dani Irawan
  • Login: dots26
  • Kind: user
  • Location: Gummersbach, DE

GitHub Events

Total
Last Year

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 212
  • Total Committers: 8
  • Avg Commits per committer: 26.5
  • Development Distribution Score (DDS): 0.184
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Dani Irawan i****i@y****m 173
Dani Irawan i****n@D****l 19
Dani Irawan i****n@p****E 7
Dani Irawan i****n@p****E 4
Dani Irawan i****n@p****E 3
Dani Irawan i****n@p****E 3
Dani Irawan i****n@p****E 2
Dani Irawan i****n@p****E 1

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 281 last-month
  • Total docker downloads: 41,971
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: MaOEA

Many Objective Evolutionary Algorithm

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 281 Last month
  • Docker Downloads: 41,971
Rankings
Forks count: 17.8%
Stargazers count: 22.5%
Dependent packages count: 29.8%
Average: 34.5%
Dependent repos count: 35.5%
Downloads: 66.9%
Maintainers (1)
Last synced: 12 months ago

Dependencies

DESCRIPTION cran
  • MASS * imports
  • e1071 * imports
  • gtools * imports
  • lhs * imports
  • nnet * imports
  • nsga2R * imports
  • pracma * imports
  • randtoolbox * imports
  • reticulate * imports
  • stats * imports
  • stringr * imports
  • utils * imports
  • testthat * suggests