Package: xegaPopulation
Title: Genetic Population Level Functions
Version: 1.0.0.16
Authors@R: 
    person(given = "Andreas",
           family = "Geyer-Schulz",
           role = c("aut", "cre"),
           email = "Andreas.Geyer-Schulz@kit.edu",
           comment = c(ORCID = "0009-0000-5237-3579"))
Description: This collection of gene representation-independent
        functions implements the population layer of extended
        evolutionary and genetic algorithms and its support for the
        R-package 'xega' <https://CRAN.R-project.org/package=xega>. The
        population layer consists of functions for initializing,
        logging, observing, evaluating a population of genes, as well
        as of computing the next population. For parallel evaluation of
        a population of genes 4 execution models - named Sequential,
        MultiCore, FutureApply, and Cluster - are provided. They are
        implemented by configuring the lapply() function. The execution
        model FutureApply can be externally configured as recommended
        by Bengtsson (2021) <doi:10.32614/RJ-2021-048>. Configurable
        acceptance rules and cooling schedules (see Kirkpatrick, S.,
        Gelatt, C. D. J, and Vecchi, M. P. (1983)
        <doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst,
        J. (1989, ISBN:0-471-92146-7) offer simulated annealing or
        greedy randomized approximate search procedure elements.
        Adaptive crossover and mutation rates depending on population
        statistics generalize the approach of Stanhope, S. A. and
        Daida, J. M. (1996, ISBN:0-18-201-031-7). For 'xega''s
        architecture, see Geyer-Schulz, A. (2025)
        <doi:10.5445/IR/1000187255>.
License: MIT + file LICENSE
URL: https://github.com/ageyerschulz/xegaPopulation
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.0.0), parallel, future.apply, utils, stats
Suggests: testthat (>= 3.0.0), future, parallelly
Imports: xegaGaGene, xegaSelectGene
Repository: https://ageyerschulz.r-universe.dev
Date/Publication: 2026-07-17 08:27:27 UTC
RemoteUrl: https://github.com/ageyerschulz/xegapopulation
RemoteRef: HEAD
RemoteSha: 91dfff12572f08bb2f0e81e1a741db5ad7865a06
NeedsCompilation: no
Packaged: 2026-10-06 08:48:04 UTC; root
Author: Andreas Geyer-Schulz [aut, cre] (ORCID:
    <https://orcid.org/0009-0000-5237-3579>)
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>