Setting up the Target Problem: | Setting up MOEADr | Visualizing the results | A more complex example
Package: MOEADr 1.1.3
MOEADr: Component-Wise MOEA/D Implementation
Modular implementation of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) [Zhang and Li (2007), <doi:10.1109/TEVC.2007.892759>] for quick assembling and testing of new algorithmic components, as well as easy replication of published MOEA/D proposals. The full framework is documented in a paper published in the Journal of Statistical Software [<doi:10.18637/jss.v092.i06>].
Authors:
MOEADr_1.1.3.tar.gz
MOEADr_1.1.3.zip(r-4.7-any)MOEADr_1.1.3.zip(r-4.6-any)MOEADr_1.1.3.zip(r-4.5-any)
MOEADr_1.1.3.tgz(r-4.6-any)MOEADr_1.1.3.tgz(r-4.5-any)
MOEADr_1.1.3.tar.gz(r-4.7-any)MOEADr_1.1.3.tar.gz(r-4.6-any)
MOEADr_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MOEADr/json (API)
| # Install 'MOEADr' in R: |
| install.packages('MOEADr', repos = c('https://fcampelo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fcampelo/moeadr/issues
Pkgdown/docs site:https://fcampelo.github.io
moeadmultiobjective-optimization
Last updated from:0ac9b1962e. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 151 | ||
| source / vignettes | OK | 235 | ||
| linux-release | NOTE | 120 | ||
| macos-release | NOTE | 157 | ||
| macos-oldrel | NOTE | 164 | ||
| windows-devel | NOTE | 113 | ||
| windows-release | NOTE | 90 | ||
| windows-oldrel | NOTE | 96 | ||
| wasm-release | OK | 92 |
Exports:box_constraintscalcIGDcheck_stop_criteriaconstraint_noneconstraint_penaltyconstraint_vbrcreate_populationdecomposition_mslddecomposition_slddecomposition_uniformdefine_neighborhoodevaluate_populationexample_problemfind_nondominated_pointsgenerate_weightsget_constraint_methodsget_decomposition_methodsget_localsearch_methodsget_scalarization_methodsget_stop_criteriaget_update_methodsget_variation_operatorsls_dvlsls_tpqamake_vectorized_smoofmoeadorder_neighborhoodperform_variationpreset_moeadprint_progressscalarization_awtscalarization_ipbiscalarization_pbiscalarization_wsscalarization_wtscalarize_valuesscale_objectivesstop_maxevalstop_maxiterstop_maxtimeunitary_constraintsupdate_populationupdt_bestupdt_restrictedupdt_standardvariation_binrecvariation_diffmutvariation_localsearchvariation_nonevariation_polymutvariation_sbxvariation_truncate
Dependencies:assertthatFNN
Basic Usage of the MOEADr Package
Last update: 2023-01-06
Started: 2017-08-18
Fine tuning MOEA/D configurations using MOEADr and irace
Fine tuning setup | irace configuration | Results | Recommendations
Last update: 2022-11-05
Started: 2017-08-18
Defining Problems in the MOEADr Package
Introduction | Problem structure | Objective Functions Routine | Constraint Functions Routine
Last update: 2020-02-17
Started: 2017-03-06
Testing New Operators using the MOEADr Package
Creating a new operator | Testing the new operator
Last update: 2020-02-17
Started: 2017-08-18
Writing Extensions for the MOEADr Package
Introduction | General guidelines | Nomenclature | Important variables defined in the package | Contributing to the modules | Decomposition strategies | Other guidelines and requirements: | Example file | Scalar aggregation functions | Neighborhood assignment options | Variation operators | Example files | Update strategies | Constraint handling methods | Objective scaling | Termination Criteria
Last update: 2020-02-17
Started: 2016-12-14
