{ "_id": "6a18192aacfb0bcc41db0656", "Package": "hmsr", "Title": "Multipopulation Evolutionary Strategy HMS", "Version": "1.0.1", "Authors@R": "c(\nperson(given = \"Wojciech\",\nfamily = \"Achtelik\",\nrole = c(\"aut\", \"cre\"),\nemail = \"wachtelik@gmail.com\"),\nperson(given = \"Marcin\",\nfamily = \"Kozubek\",\nrole = \"aut\",\nemail = \"mkozubek@protonmail.com\"),\nperson(given = \"Maciej\",\nfamily = \"Smołka\",\nrole = c(\"ths\", \"aut\"),\nemail = \"smolka@agh.edu.pl\",\ncomment = c(ORCID = \"0000-0002-3386-0555\", \"Java original\")),\nperson(given = \"AGH University of Kraków\",\nrole = \"cph\"\n))", "Description": "The HMS (Hierarchic Memetic Strategy) is a composite\nglobal optimization strategy consisting of a multi-population\nevolutionary strategy and some auxiliary methods. The HMS makes\nuse of a dynamically-evolving data structure that provides an\norganization among the component populations. It is a tree with\na fixed maximal height and variable internal node degree. Each\ncomponent population is governed by a particular evolutionary\nengine. This package provides a simple R implementation with\nexamples of using different genetic algorithms as the\npopulation engines. References: J. Sawicki, M. Łoś, M. Smołka,\nJ. Alvarez-Aramberri (2022) .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.2", "BugReports": "https://github.com/WojtAcht/hms/issues", "URL": "https://wojtacht.github.io/hms/", "Repository": "https://wojtacht.r-universe.dev", "Date/Publication": "2024-03-13 19:30:35 UTC", "RemoteUrl": "https://github.com/wojtacht/hms", "RemoteRef": "HEAD", "RemoteSha": "f4bb133fd2a404f04e7b00d619042c0be859a2d6", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 10:26:24 UTC", "User": "root" }, "Author": "Wojciech Achtelik [aut, cre],\nMarcin Kozubek [aut],\nMaciej Smołka [ths, aut] (ORCID:\n, Java original),\nAGH University of Kraków [cph]", "Maintainer": "Wojciech Achtelik ", "MD5sum": "e839ec1476c067244a4a6104708172cf", "_user": "wojtacht", "_type": "src", "_file": "hmsr_1.0.1.tar.gz", "_fileid": "023dad4c7196184dac2065ebee81723777be4b8746e91e13477b5ebd33ac1e21", "_filesize": 215706, "_sha256": 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"role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "uuid", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "memoise", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "ecr", "role": "Suggests" }, { "package": "filelock", "role": "Suggests" }, { "package": "parallel", "role": "Suggests" }, { "package": "doParallel", "role": "Suggests" }, { "package": "grDevices", "role": "Suggests" }, { "package": "smoof", "role": "Suggests" }, { "package": "cmaes", "role": "Suggests" }, { "package": "RANN", "role": "Suggests" }, { "package": "flacco", "role": "Suggests" }, { "package": "randomForest", "role": "Suggests" }, { "package": "DEoptim", "role": "Suggests" } ], "_owner": "wojtacht", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 3, "_contributors": [ { "user": "wojtacht", "count": 162, "uuid": 58685838 }, { "user": "kartonm", "count": 45, "uuid": 24687031 } ], "_userbio": { "uuid": 58685838, "type": "user", "name": "Wojciech Achtelik" }, "_downloads": { "count": 134, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/hmsr" }, "_devurl": "https://github.com/wojtacht/hms", "_pkgdown": "https://wojtacht.github.io/hms/", "_searchresults": 5, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/hmsr.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/wojtacht/hms", "_realowner": "wojtacht", "_cranurl": true, "_releases": [ { "version": "1.0.0", "date": "2023-10-12" }, { "version": "1.0.1", "date": "2023-10-25" } ], "_exports": [ "classify_optimization_problem", "cma_es_metaepoch", "deoptim_cma_es_metaepoch", "deoptim_metaepoch", "ecr_metaepoch", "euclidean_distance", "ga_cma_es_metaepoch", "ga_metaepoch", "gsc_max_fitness_evaluations", 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Wrapper function for cmaes::cma_es.", "topics": [ "cma_es_metaepoch" ] }, { "page": "default_run_gradient_method", "title": "Function that runs gradient method for one deme. Wrapper function for stats::optim.", "topics": [ "default_run_gradient_method" ] }, { "page": "deoptim_cma_es_metaepoch", "title": "Function that generates run_metaepoch function for two level HMS. First level: DE, second level: CMA-ES.", "topics": [ "deoptim_cma_es_metaepoch" ] }, { "page": "deoptim_metaepoch", "title": "Function that runs one differential evolution metaepoch. Wrapper function for DEoptim::DEoptim.", "topics": [ "deoptim_metaepoch" ] }, { "page": "ecr_metaepoch", "title": "Function that runs one ecr metaepoch. Wrapper function for ecr::ecr.", "topics": [ "ecr_metaepoch" ] }, { "page": "euclidean_distance", "title": "Euclidean distance", "topics": [ "euclidean_distance" ] }, { "page": "ga_cma_es_metaepoch", "title": "Function that generates run_metaepoch function for two level HMS. First level: GA, second level: CMA-ES.", "topics": [ "ga_cma_es_metaepoch" ] }, { "page": "ga_metaepoch", "title": "Function that runs one GA metaepoch. Wrapper function for GA::ga.", "topics": [ "ga_metaepoch" ] }, { "page": "gsc_max_fitness_evaluations", "title": "Factory function for a global stopping condition that stops the computation after fitness function has been evaluated given number of times.", "topics": [ "gsc_max_fitness_evaluations" ] }, { "page": "gsc_metaepochs_count", "title": "Factory function for a global stopping condition that stops the computation after given number of metaepochs.", "topics": [ "gsc_metaepochs_count" ] }, { "page": "gsc_trivial", "title": "Factory function for a global stopping condition that never stops the computation. It results in hms running until there are no more active demes.", "topics": [ "gsc_trivial" ] }, { "page": "hms", "title": "Maximization (or minimization) of a fitness function using Hierarchic Memetic Strategy.", "topics": [ "hms" ] }, { "page": "hms-class", "title": "A S4 class representing a result of hms.", "topics": [ "hms-class" ] }, { "page": "lsc_max_fitness_evaluations", "title": "Factory function for a local stopping condition that stops a deme after given number of fitness function evaluations has been made in that deme.", "topics": [ "lsc_max_fitness_evaluations" ] }, { "page": "lsc_metaepochs_without_active_child", "title": "Factory function for a local stopping condition that stops a deme after given number of metaepochs have past since last metaepoch during which this deme had an active child.", "topics": [ "lsc_metaepochs_without_active_child" ] }, { "page": "lsc_metaepochs_without_improvement", "title": "Factory function for a local stopping condition that stops a deme after given number of consecutive metaeopochs without an improvement of the best solution found in that deme.", "topics": [ "lsc_metaepochs_without_improvement" ] }, { "page": "lsc_trivial", "title": "Factory function for a trivial local stopping condition that lets a deme be active forever. 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class \"hms\".", "topics": [ "print,hms-method" ] }, { "page": "printBlockedSprouts", "title": "printBlockedSprouts method for \"hms\" class.", "topics": [ "printBlockedSprouts" ] }, { "page": "printBlockedSprouts-hms-method", "title": "printBlockedSprouts method for \"hms\" class.", "topics": [ "printBlockedSprouts,hms-method" ] }, { "page": "printTree", "title": "printTree method for class \"hms\".", "topics": [ "printTree" ] }, { "page": "printTree-hms-method", "title": "printTree method for class \"hms\".", "topics": [ "printTree,hms-method" ] }, { "page": "rtnorm_mutation", "title": "Factory function that creates normal mutation function", "topics": [ "rtnorm_mutation" ] }, { "page": "saveMetaepochsPopulations", "title": "saveMetaepochsPopulations method for \"hms\" class.", "topics": [ "saveMetaepochsPopulations" ] }, { "page": "saveMetaepochsPopulations-hms-method", "title": "saveMetaepochsPopulations", "topics": [ "saveMetaepochsPopulations,hms-method" ] }, { "page": 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