Package: hmsr 1.0.1
hmsr: Multipopulation Evolutionary Strategy HMS
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) <doi:10.1007/s11047-020-09836-w>.
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hmsr_1.0.1.tar.gz
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hmsr_1.0.1.tgz(r-4.4-any)hmsr_1.0.1.tgz(r-4.3-any)
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hmsr.pdf |hmsr.html✨
hmsr/json (API)
NEWS
# Install 'hmsr' in R: |
install.packages('hmsr', repos = c('https://wojtacht.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/wojtacht/hms/issues
Last updated 9 months agofrom:f4bb133fd2. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | NOTE | Nov 08 2024 |
R-4.5-linux | NOTE | Nov 08 2024 |
R-4.4-win | NOTE | Nov 08 2024 |
R-4.4-mac | NOTE | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
Exports:classify_optimization_problemcma_es_metaepochdeoptim_cma_es_metaepochdeoptim_metaepochecr_metaepocheuclidean_distancega_cma_es_metaepochga_metaepochgsc_max_fitness_evaluationsgsc_metaepochs_countgsc_trivialhmslsc_max_fitness_evaluationslsc_metaepochs_without_active_childlsc_metaepochs_without_improvementlsc_trivialmanhattan_distanceplotplotActiveDemesplotPopulationprintprintBlockedSproutsprintTreertnorm_mutationsaveMetaepochsPopulationssc_max_metricshowsummary
Dependencies:cachemclicodetoolscrayonexpmfansifastmapforeachGAgenericsglueiteratorslatticelifecyclemagrittrMatrixmemoisemsmmvtnormpillarpkgconfigRcppRcppArmadillorlangsurvivaltibbleutf8uuidvctrs