Package: rmoo 0.3.2

Francisco Benitez

rmoo: Multi-Objective Optimization in R

The 'rmoo' package is a framework for multi- and many-objective optimization, which allows researchers and users versatility in parameter configuration, as well as tools for analysis, replication and visualization of results. The 'rmoo' package was built as a fork of the 'GA' package by Luca Scrucca(2017) <doi:10.32614/RJ-2017-008> and implementing the Non-Dominated Sorting Genetic Algorithms proposed by K. Deb's.

Authors:Francisco Benitez [aut, cre], Diego P. Pinto-Roa [aut]

rmoo_0.3.2.tar.gz
rmoo_0.3.2.zip(r-4.7)rmoo_0.3.2.zip(r-4.6)rmoo_0.3.2.zip(r-4.5)
rmoo_0.3.2.tgz(r-4.6-any)rmoo_0.3.2.tgz(r-4.5-any)
rmoo_0.3.2.tar.gz(r-4.7-any)rmoo_0.3.2.tar.gz(r-4.6-any)
rmoo_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rmoo/json (API)

# Install 'rmoo' in R:

install.packages('rmoo', repos = c('https://evolutionary-optimization-laboratory.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/evolutionary-optimization-laboratory/rmoo/issues

Datasets:

kroA100 - KROA100
kroB100 - KROB100
kroC100 - KROC100

On CRAN:

metaheuristics multiobjective multiobjective-optimization nsga nsga2 nsga3 optimization pareto-front

4.97 score 31 stars 30 scripts 452 downloads 67 exports 73 dependencies

Last updated from:5672d7f94a. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	166
source / vignettes	OK	194
linux-release-x86_64	OK	162
macos-release-arm64	OK	155
macos-oldrel-arm64	OK	148
windows-devel	OK	119
windows-release	OK	98
windows-oldrel	OK	105
wasm-release	OK	132

Exports:associate_to_niches calc_norm_pref_distance compute_niche_count compute_perpendicular_distance crowding_distance generate_reference_points generational_distance get_fixed_rowsum_integer_matrix get_nadir_point getCrowdingDistance getDummyFitness getFitness getMetrics getPopulation modifiedCrowdingDistance niching non_dominated_fronts nsga nsga2 nsga3 PerformScalarizing plot print progress reference_point_multi_layer rmoo rmoo_huxCrossover rmoo_lrSelection rmoo_spCrossover rmoo_tourSelection rmoo_uxCrossover rmoo_uxMutation rmoobin_huxCrossover rmoobin_lrSelection rmoobin_Population rmoobin_raMutation rmoobin_spCrossover rmoobin_tourSelection rmoobin_uxCrossover rmoobin_uxMutation rmooControl rmooint_huxCrossover rmooint_Population rmooint_spCrossover rmooint_uxCrossover rmooint_uxMutation rmooMonitor rmooperm_lrSelection rmooperm_oxCrossover rmooperm_Population rmooperm_simMutation rmooperm_tourSelection rmooreal_lrSelection rmooreal_polMutation rmooreal_Population rmooreal_raMutation rmooreal_sbxCrossover rmooreal_spCrossover rmooreal_tourSelection rnsga2 scale_reference_directions sharing startParallel stopParallel summary UpdateIdealPoint UpdateWorstPoint

Dependencies:askpass backports base64enc BBmisc bslib cachem checkmate cli codetools cpp11 crayon crosstalk curl data.table digest dplyr evaluate farver fastmap fontawesome foreach fs GA generics ggplot2 glue gtable highr htmltools htmlwidgets httr isoband iterators jquerylib jsonlite knitr labeling later lazyeval lifecycle magrittr memoise mime openssl otel pillar pkgconfig plotly promises purrr R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang rmarkdown S7 sass scales stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Virtual Parent Class Algorithm	algorithm-class
Association Operation in Non-Dominated Genetic Algorithms III	associate associate_to_niches compute_niche_count compute_perpendicular_distance
Calculate Normalized Preference Distance Computes the weighted normalized Euclidean distance between a set of fitness vectors and a set of reference points.	calc_norm_pref_distance
Calculation of Crowding Distance	crowding_distance
Determination of Reference Points on a Hyper-Plane	generate_reference_points
Determine the division points on the hyperplane	get_fixed_rowsum_integer_matrix
Accessor methods to the crowding distance for NSGA-II results	getCrowdingDistance getCrowdingDistance,nsga2-method
Accessor methods to the dummy fitness for NSGA-I results	getDummyFitness getDummyFitness,nsga1-method
Accessor methods to the fitness for rmoo results	getFitness
Accessor methods to the metrics evaluated during execution	getMetrics getMetrics,nsga,nsga-method getMetrics,nsga-method
Accessor methods to the population for rmoo results	getFitness,nsga,nsga-method getFitness,nsga-method getPopulation getPopulation,nsga,nsga-method getPopulation,nsga-method
KROA100	kroA100
KROB100	kroB100
KROC100	kroC100
Calculation of Modified Crowding Distance	modifiedCrowdingDistance
Niche-Preservation Operation	niching
Calculate of Non-Dominated Front	non_dominated_fronts
Non-Dominated Sorting in Genetic Algorithms	nsga
Virtual Class 'nsga'	nsga-class
Class 'nsga1'	nsga1-class
Non-Dominated Sorting in Genetic Algorithms II	nsga2
Class 'nsga2'	nsga2-class
Non-Dominated Sorting in Genetic Algorithms III	nsga3
Class 'nsga3'	nsga3-class
Virtual Class 'numberOrNAOrMatrix - Simple Class for subassigment Values'	numberOrNAOrMatrix-class
Objective Values performance metrics	generational_distance performance_metrics
Methods for Function 'plot' in Package 'rmoo'	plot plot,nsga,missing plot,nsga,missing-method plot,nsga1,missing-method plot,nsga1-method plot,nsga2,missing-method plot,nsga2-method plot,nsga3,missing-method plot,nsga3-method plot,rnsga2,missing-method plot,rnsga2-method
Methods for Function 'print' in Package 'rmoo'.	print print,nsga,missing-method print,nsga-method print,nsga1-method print,nsga3-method
Methods for Function 'progress' in Package 'rmoo'	progress progress,nsga,nsga-method progress,nsga-method progress,nsga1-method progress,nsga2-method progress,nsga3-method
Determination of Multi-layer Reference Points	reference_point_multi_layer
Half Uniform Crossover (HUX)	rmoobin_huxCrossover rmooint_huxCrossover rmoo_huxCrossover
Linear Rank Selection	rmoobin_lrSelection rmooperm_lrSelection rmooreal_lrSelection rmoo_lrSelection
R Multi-Objective Optimization Main Function	rmoo rmoo,rmoo-main,rmoo-function rmoo_main
Mutation operators in non-dominated genetic algorithms	rmoobin_raMutation rmooperm_simMutation rmooreal_polMutation rmooreal_raMutation rmoo_Mutation
Population initialization in non-dominated genetic algorithms	rmoobin_Population rmooint_Population rmooperm_Population rmooreal_Population rmoo_Population
Tournament Selection	rmoobin_tourSelection rmooperm_tourSelection rmooreal_tourSelection rmoo_tourSelection
Uniform Crossover	rmoobin_uxCrossover rmooint_uxCrossover rmoo_uxCrossover
Uniform Mutation	rmoobin_uxMutation rmooint_uxMutation rmoo_uxMutation
A function for setting or retrieving defaults non-dominated genetic operators	rmooControl
Monitor the execution of rmoo	rmooMonitor
Crossover Operators in Non-Dominated Genetic Algorithms	rmoobin_spCrossover rmooint_spCrossover rmooperm_oxCrossover rmooreal_sbxCrossover rmooreal_spCrossover rmoo_Crossover rmoo_spCrossover
Reference Point Based Non-Dominated Sorting in Genetic Algorithms II	rnsga2
Class 'rnsga2'	rnsga2-class
Scale Reference Points	scale_reference_directions
Calculation of Dummy Fitness	sharing
Start Parallel Backend for rmoo Package	startParallel
Stop Parallel Backend	stopParallel
Methods for Function 'summary' in Package 'rmoo'	summary summary,nsga,nsga-method summary,nsga-method summary,nsga1-method summary,nsga2-method summary,nsga3-method
Adaptive normalization of population members	get_nadir_point PerformScalarizing UpdateIdealPoint UpdateWorstPoint update_points