The MOEADr Package – A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 37834751
- Type
- D - Journal article
- DOI
-
10.18637/jss.v092.i06
- Title of journal
- Journal of Statistical Software
- Article number
- -
- First page
- 1
- Volume
- 92
- Issue
- 6
- ISSN
- 1548-7660
- Open access status
- Deposit exception
- Month of publication
- February
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the result of an ongoing collaboration between researchers in the UK, Brazil and Japan, and presents the mathematical formalisation and computational implementation of a modular framework for instantiating variants of a popular algorithm for multi-objective optimisation. This approach is aimed at facilitating rapid prototyping and testing as well as for easier reproducibility in the area of evolutionary multiobejctive optimisation. Both the paper and the associated R package (https://cran.r-project.org/package=MOEADr) are Open Access. According to download statistics from CRAN the computational package has been downloaded around 14,000 times since it was first made public.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
