Package: hmsr Title: Multipopulation Evolutionary Strategy HMS Version: 1.0.1 Authors@R: c( person(given = "Wojciech", family = "Achtelik", role = c("aut", "cre"), email = "wachtelik@gmail.com"), person(given = "Marcin", family = "Kozubek", role = "aut", email = "mkozubek@protonmail.com"), person(given = "Maciej", family = "Smołka", role = c("ths", "aut"), email = "smolka@agh.edu.pl", comment = c(ORCID = "0000-0002-3386-0555", "Java original")), person(given = "AGH University of Kraków", role = "cph" )) Description: The HMS (Hierarchic Memetic Strategy) is a composite global optimization strategy consisting of a multi-population evolutionary strategy and some auxiliary methods. The HMS makes use of a dynamically-evolving data structure that provides an organization among the component populations. It is a tree with a fixed maximal height and variable internal node degree. Each component population is governed by a particular evolutionary engine. This package provides a simple R implementation with examples of using different genetic algorithms as the population engines. References: J. Sawicki, M. Łoś, M. Smołka, J. Alvarez-Aramberri (2022) . License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.1.2 Imports: GA, msm, methods, uuid, graphics, memoise Suggests: testthat (>= 3.0.0), ecr, filelock, parallel, doParallel, grDevices, smoof, cmaes, RANN, flacco, randomForest, DEoptim BugReports: https://github.com/WojtAcht/hms/issues URL: https://wojtacht.github.io/hms/ Depends: R (>= 2.10) 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: 2026-10-04 07:23:58 UTC; root Author: Wojciech Achtelik [aut, cre], Marcin Kozubek [aut], Maciej Smołka [ths, aut] (ORCID: , Java original), AGH University of Kraków [cph] Maintainer: Wojciech Achtelik