Other packages > Find by keyword >

MOEADr  

Component-Wise MOEA/D Implementation
View on CRAN: Click here


Download and install MOEADr package within the R console
Install from CRAN:
install.packages("MOEADr")

Install from Github:
library("remotes")
install_github("cran/MOEADr")

Install by package version:
library("remotes")
install_version("MOEADr", "1.1.3")



Attach the package and use:
library("MOEADr")
Maintained by
Felipe Campelo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-16
Latest Update: 2023-01-08
Description:
Modular implementation of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) [Zhang and Li (2007), ] 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 [].
How to cite:
Felipe Campelo (2017). MOEADr: Component-Wise MOEA/D Implementation. R package version 1.1.3, https://cran.r-project.org/web/packages/MOEADr. Accessed 12 Jun. 2026.
Previous versions and publish date:
0.2.0 (2017-03-16 08:44), 0.2.1 (2017-03-20 06:22), 1.0.0 (2017-08-20 21:51), 1.1.0 (2017-10-24 09:15), 1.1.1 (2020-02-17 21:20)
Other packages that cited MOEADr R package
View MOEADr citation profile
Other R packages that MOEADr depends, imports, suggests or enhances
Complete documentation for MOEADr
Functions, R codes and Examples using the MOEADr R package
Some associated functions: box_constraints . calcIGD . check_stop_criteria . constraint_none . constraint_penalty . constraint_vbr . create_population . decomposition_msld . decomposition_sld . decomposition_uniform . define_neighborhood . evaluate_population . example_problem . find_nondominated_points . generate_weights . get_constraint_methods . get_decomposition_methods . get_localsearch_methods . get_scalarization_methods . get_stop_criteria . get_update_methods . get_variation_operators . ls_dvls . ls_tpqa . make_vectorized_smoof . moead . order_neighborhood . perform_variation . plot.moead . preset_moead . print.moead . print_progress . scalarization_awt . scalarization_ipbi . scalarization_pbi . scalarization_ws . scalarization_wt . scalarize_values . scale_objectives . stop_maxeval . stop_maxiter . stop_maxtime . summary.moead . unitary_constraints . update_population . updt_best . updt_restricted . updt_standard . variation_binrec . variation_diffmut . variation_localsearch . variation_none . variation_polymut . variation_sbx . variation_truncate . 
Some associated R codes: calcIGD.R . check_stop_criteria.R . constraint_none.R . constraint_penalty.R . constraint_vbr.R . create_population.R . decomposition_msld.R . decomposition_sld.R . decomposition_uniform.R . define_neighborhood.R . evaluate_population.R . example_problem.R . find_nondominated_points.R . generate_weights.R . get_constraint_methods.R . get_decomposition_methods.R . get_localsearch_methods.R . get_scalarization_methods.R . get_stop_criteria.R . get_update_methods.R . get_variation_operators.R . ls_dvls.R . ls_tpqa.R . make_vectorized_smoof.R . moead.R . order_neigborhood.R . perform_variation.R . plot_moead.R . preset_moead.R . print_moead.R . print_progress.R . sample_constraints.R . scalarization_awt.R . scalarization_ipbi.R . scalarization_pbi.R . scalarization_ws.R . scalarization_wt.R . scalarize_values.R . scale_objectives.R . stop_maxeval.R . stop_maxiter.R . stop_maxtime.R . summary_moead.R . update_population.R . updt_best.R . updt_restricted.R . updt_standard.R . utils.R . variation_binrec.R . variation_diffmut.R . variation_localsearch.R . variation_none.R . variation_polymut.R . variation_sbx.R . variation_truncate.R .  Full MOEADr package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
bfp  
Bayesian Fractional Polynomials
Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally ...
Download / Learn more Package Citations See dependency  
tablerDash  
'Tabler' API for 'Shiny'
'R' interface to the 'Tabler' HTML template. See more here < ...
Download / Learn more Package Citations See dependency  
MEDITS  
Analysis of MEDITS-Like Survey Data
Set of functions working with survey data in the format of the MEDITS project ...
Download / Learn more Package Citations See dependency  
piwikproR  
Access 'Piwik Pro' Website Statistics
Run Queries against the API of 'Piwik Pro' ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA