{ "_id": "6a200fa6b401979e73448932", "Package": "rmoo", "Title": "Multi-Objective Optimization in R", "Version": "0.3.2", "Date": "2026-05-03", "Authors@R": "c(person(given = \"Francisco\",\nfamily = \"Benitez\",\nrole = c(\"aut\", \"cre\"),\nemail = \"benitezfj94@gmail.com\"),\nperson(given = \"Diego P.\",\nfamily = \"Pinto-Roa\",\nrole = \"aut\",\nemail = \"dpinto@pol.una.py\",\ncomment = c(ORCID = \"0000-0003-2479-9876\")))", "Description": "The 'rmoo' package is a framework for multi- and\nmany-objective optimization, which allows researchers and users\nversatility in parameter configuration, as well as tools for\nanalysis, replication and visualization of results. The 'rmoo'\npackage was built as a fork of the 'GA' package by Luca\nScrucca(2017) and implementing the\nNon-Dominated Sorting Genetic Algorithms proposed by K. Deb's.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "Language": "en", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Collate": "'AllClasses.R' 'associate.R' 'crowding_distance.R' 'data.R'\n'generate_reference_points.R' 'geneticoperator.R'\n'get_fixed_rowsum_integer_matrix.R' 'miscfun.R' 'AllGenerics.R'\n'niching.R' 'non_dominated_fronts.R' 'parallel.R' 'utils.R'\n'nsga.R' 'nsga2.R' 'nsga3.R' 'rnsga2.R'\n'modified_crowding_distance.R' 'rmooControl.R'\n'performance_metrics.R' 'reference_point_multi_layer.R'\n'rmoo.R' 'rmoo_main.R' 'sharing.R' 'update_points.R' 'zzz.R'", "URL": "https://github.com/Evolutionary-Optimization-Laboratory/rmoo/", "BugReports": "https://github.com/Evolutionary-Optimization-Laboratory/rmoo/issues/", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://evolutionary-optimization-laboratory.r-universe.dev", "Date/Publication": "2026-05-03 23:49:47 UTC", "RemoteUrl": "https://github.com/evolutionary-optimization-laboratory/rmoo", "RemoteRef": "HEAD", "RemoteSha": "5672d7f94ae93b5fb47777fea3e7e7f5a1374253", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 11:24:10 UTC", "User": "root" }, "Author": "Francisco Benitez [aut, cre],\nDiego P. Pinto-Roa [aut] (ORCID:\n)", "Maintainer": "Francisco Benitez ", "MD5sum": "c5e44c448921c435cfed06f32651f5db", "_user": "evolutionary-optimization-laboratory", "_type": "src", "_file": "rmoo_0.3.2.tar.gz", "_fileid": "4239c65ee27cb22e33cc7857a2e295ba460eef6306ed9475e2e165e5ee511fdc", "_filesize": 554325, "_sha256": "4239c65ee27cb22e33cc7857a2e295ba460eef6306ed9475e2e165e5ee511fdc", "_created": "2026-06-03T11:24:10.000Z", "_published": "2026-06-03T11:27:34.660Z", "_distro": "noble", "_jobs": [ { "job": 79282727218, "time": 166, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7383254384" }, { "job": 79282727239, "time": 162, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7383253239" }, { "job": 79282727337, "time": 148, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7383242146" }, { "job": 79282727187, "time": 155, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7383242975" }, { 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@title, @description, @param, @return to undocumented exported\n functions: rmoo_lrSelection, rmoo_uxCrossover, rmoo_huxCrossover,\n rmoo_uxMutation, rmoo_spCrossover\n- Replaced standalone @title on rmoo_spCrossover with umbrella @name/@rdname\n rmoo_Crossover page, migrating hand-written rmoo_Crossover.Rd to roxygen\n- Added @rdname rmoo_Crossover to rmooreal_sbxCrossover and rmooperm_oxCrossover\n- Added @rdname to all typed aliases: rmoobin/real/int_spCrossover,\n rmoobin/int_uxCrossover, rmoobin/int_huxCrossover, rmoobin/int_uxMutation,\n rmoobin/perm/real_lrSelection, rmooint_spCrossover\n- Fixed @rdname rmoo_population (lowercase) to rmoo_Population (capital P)\n across all four population functions to match existing cross-references\n- Replaced broken @examples (obj not found) with \\dontrun{} using nsga2()\n- Fixed lost-braces LaTeX warning: {0,1} → \\{0, 1\\} in description\n- Removed never-called normalize_range() helper (dead code)\n\nBug fixes (crossover fitness matrix dimensions):\n- Fixed 6 crossover functions creating 1×nObj fitness matrix instead of\n 2×nObj: rmooreal_sbxCrossover, rmoo_uxCrossover, rmoo_huxCrossover,\n rmoo_tpCrossover, pointCrossover, rmoo_spCrossover (else branch)\n- Fixed rmooperm_oxCrossover returning rep(NA, 2) vector instead of matrix\n\nCode optimizations:\n- Replaced do.call(cbind, replicate(...)) with matrix() in associate_to_niches\n- Replaced vapply + which.min loops with vectorised max.col()\n- Added pmax(..., 0) guard before sqrt to prevent NaN from floating-point error\n- Removed dead apply(dist_matrix, 1, min) call overwritten two lines below\n- Replaced (n*m)×p intermediate matrix in calc_norm_pref_distance with\n Reduce(+, lapply(..., outer)) to reduce peak memory from O(n·m·p) to O(n·m)\n- Replaced which(!(x %in% y)) with setdiff() in crowding distance loop\n- Fixed nadir_point computed from updated ideal_point instead of original\n fitness in \"ever\" normalization branch\n\nTests:\n- Added 3 missing regres", "time": 1777852187 }, "_maintainer": { "name": "Francisco Benitez", "email": "benitezfj94@gmail.com" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "foreach", "role": "Imports" }, { "package": "GA", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "plotly", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "BBmisc", "role": "Imports" }, { "package": "testthat", "role": "Suggests" }, { "package": "covr", "role": "Suggests" }, { "package": "rgl", "role": "Suggests" }, { "package": "ecr", "role": "Suggests" }, { "package": "emoa", "role": "Suggests" }, { "package": "cdata", "role": "Suggests" }, { "package": "dplyr", "role": "Suggests" }, { "package": "reshape2", "role": "Suggests" }, { 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"compute_perpendicular_distance" ] }, { "page": "calc_norm_pref_distance", "title": "Calculate Normalized Preference Distance Computes the weighted normalized Euclidean distance between a set of fitness vectors and a set of reference points.", "topics": [ "calc_norm_pref_distance" ] }, { "page": "crowding_distance", "title": "Calculation of Crowding Distance", "topics": [ "crowding_distance" ] }, { "page": "generate_reference_points", "title": "Determination of Reference Points on a Hyper-Plane", "topics": [ "generate_reference_points" ] }, { "page": "get_fixed_rowsum_integer_matrix", "title": "Determine the division points on the hyperplane", "topics": [ "get_fixed_rowsum_integer_matrix" ] }, { "page": "getCrowdingDistance-methods", "title": "Accessor methods to the crowding distance for NSGA-II results", "topics": [ "getCrowdingDistance", "getCrowdingDistance,nsga2-method" ] }, { "page": "getDummyFitness-methods", "title": "Accessor methods to the dummy fitness for NSGA-I results", "topics": [ "getDummyFitness", "getDummyFitness,nsga1-method" ] }, { "page": "getFitness-methods", "title": "Accessor methods to the fitness for rmoo results", "topics": [ "getFitness" ] }, { "page": "getMetrics-methods", "title": "Accessor methods to the metrics evaluated during execution", "topics": [ "getMetrics", "getMetrics,nsga,nsga-method", "getMetrics,nsga-method" ] }, { "page": "getPopulation-methods", "title": "Accessor methods to the population for rmoo results", "topics": [ "getFitness,nsga,nsga-method", "getFitness,nsga-method", "getPopulation", "getPopulation,nsga,nsga-method", "getPopulation,nsga-method" ] }, { "page": "kroA100", "title": "KROA100", "topics": [ "kroA100" ] }, { "page": "kroB100", "title": "KROB100", "topics": [ "kroB100" ] }, { "page": "kroC100", "title": "KROC100", "topics": [ "kroC100" ] }, { "page": "modifiedCrowdingDistance", "title": "Calculation of Modified Crowding Distance", "topics": [ "modifiedCrowdingDistance" ] }, { "page": "niching", "title": "Niche-Preservation Operation", "topics": [ "niching" ] }, { "page": "non_dominated_fronts", "title": "Calculate of Non-Dominated Front", "topics": [ "non_dominated_fronts" ] }, { "page": "nsga", "title": "Non-Dominated Sorting in Genetic Algorithms", "topics": [ "nsga" ] }, { "page": "nsga-class", "title": "Virtual Class 'nsga'", "topics": [ "nsga-class" ] }, { "page": "nsga1-class", "title": "Class 'nsga1'", "topics": [ "nsga1-class" ] }, { "page": "nsga2", "title": "Non-Dominated Sorting in Genetic Algorithms II", "topics": [ "nsga2" ] }, { "page": "nsga2-class", "title": "Class 'nsga2'", "topics": [ "nsga2-class" ] }, { "page": "nsga3", "title": "Non-Dominated Sorting in Genetic Algorithms III", "topics": [ "nsga3" ] }, { "page": "nsga3-class", "title": "Class 'nsga3'", "topics": [ "nsga3-class" ] }, { "page": "numberOrNAOrMatrix-class", "title": "Virtual Class 'numberOrNAOrMatrix - Simple Class for subassigment Values'", "topics": [ "numberOrNAOrMatrix-class" ] }, { "page": "performance_metrics", "title": "Objective Values performance metrics", "topics": [ "generational_distance", "performance_metrics" ] }, { "page": "plot-methods", "title": "Methods for Function 'plot' in Package 'rmoo'", "topics": [ "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" ] }, { "page": "print-methods", "title": "Methods for Function 'print' in Package 'rmoo'.", "topics": [ "print", "print,nsga,missing-method", "print,nsga-method", "print,nsga1-method", "print,nsga3-method" ] }, { "page": "progress-methods", "title": "Methods for Function 'progress' in Package 'rmoo'", "topics": [ "progress", "progress,nsga,nsga-method", "progress,nsga-method", "progress,nsga1-method", "progress,nsga2-method", "progress,nsga3-method" ] }, { "page": "reference_point_multi_layer", "title": "Determination of Multi-layer Reference Points", "topics": [ "reference_point_multi_layer" ] }, { "page": "rmoo_huxCrossover", "title": "Half Uniform Crossover (HUX)", "topics": [ "rmoobin_huxCrossover", "rmooint_huxCrossover", "rmoo_huxCrossover" ] }, { "page": "rmoo_lrSelection", "title": "Linear Rank Selection", "topics": [ "rmoobin_lrSelection", "rmooperm_lrSelection", "rmooreal_lrSelection", "rmoo_lrSelection" ] }, { "page": "rmoo", "title": "R Multi-Objective Optimization Main Function", "topics": [ "rmoo", "rmoo,rmoo-main,rmoo-function", "rmoo_main" ] }, { "page": "rmoo_Mutation", "title": "Mutation operators in non-dominated genetic algorithms", "topics": [ "rmoobin_raMutation", "rmooperm_simMutation", "rmooreal_polMutation", "rmooreal_raMutation", "rmoo_Mutation" ] }, { "page": "rmoo_Population", "title": "Population initialization in non-dominated genetic algorithms", "topics": [ "rmoobin_Population", "rmooint_Population", "rmooperm_Population", "rmooreal_Population", "rmoo_Population" ] }, { "page": "rmoo_tourSelection", "title": "Tournament Selection", "topics": [ "rmoobin_tourSelection", "rmooperm_tourSelection", "rmooreal_tourSelection", "rmoo_tourSelection" ] }, { "page": "rmoo_uxCrossover", "title": "Uniform Crossover", "topics": [ "rmoobin_uxCrossover", "rmooint_uxCrossover", "rmoo_uxCrossover" ] }, { "page": "rmoo_uxMutation", "title": "Uniform Mutation", "topics": [ "rmoobin_uxMutation", "rmooint_uxMutation", "rmoo_uxMutation" ] }, { "page": "rmooControl", "title": "A function for setting or retrieving defaults non-dominated genetic operators", "topics": [ "rmooControl" ] }, { "page": "rmooMonitor", "title": "Monitor the execution of rmoo", "topics": [ "rmooMonitor" ] }, { "page": "rmoo_Crossover", "title": "Crossover Operators in Non-Dominated Genetic Algorithms", "topics": [ "rmoobin_spCrossover", "rmooint_spCrossover", "rmooperm_oxCrossover", "rmooreal_sbxCrossover", "rmooreal_spCrossover", "rmoo_Crossover", 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