Constraint optimization, or constraint programming, is the name given to identifying feasible solutions out of a very large set of candidates, where the problem can be modeled in terms of arbitrary constraints. 'MiniZinc' is a free and open-source constraint modeling language. Constraint satisfaction and discrete optimization problems can be formulated in a high-level modeling language. Models are compiled into an intermediate representation that is understood by a wide range of solvers. 'MiniZinc' itself provides several solvers, for instance 'GeCode'. R users can use the package to solve constraint programming problems without using 'MiniZinc' directly, modify existing 'MiniZinc' models and also create their own models.
Version: 0.0.8 Depends: R (≥ 3.5.0), rjson Imports: R6, checkmate, Rcpp, rlang, rlist LinkingTo: Rcpp Suggests: knitr, rmarkdown, testthat, stringr Published: 2021-10-15 DOI: 10.32614/CRAN.package.rminizinc Author: Akshit Achara, Lars Kotthoff, Hans W. Borchers, Guido Tack Maintainer: Akshit Achara <acharaakshit at gmail.com> BugReports: https://github.com/acharaakshit/RMiniZinc/issues License: Mozilla Public License Version 2.0 URL: https://github.com/acharaakshit/RMiniZinc NeedsCompilation: yes SystemRequirements: pandoc (>=1.14, needed for the vignette) Materials: NEWS In views: Optimization CRAN checks: rminizinc results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rminizinc to link to this page.
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