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Claim

MiniZinc

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 24 Feb 2023Publisher:Zenodo
Authors: Tack, Guido; Dekker, Jip J.; Leo, Kevin; Belov, Gleb; Nguyen, Jason; Garcia de la Banda, Maria; Stuckey, Peter J.;

doi: 10.5281/zenodo.13841144 , 10.5281/zenodo.7803876 , 10.5281/zenodo.8012425 , 10.5281/zenodo.17221055 , 10.5281/zenodo.14957486 , 10.5281/zenodo.14978566 , 10.5281/zenodo.7340323 , 10.5281/zenodo.8062366 , 10.5281/zenodo.7923141 , 10.5281/zenodo.10388161 , 10.5281/zenodo.13880415 , 10.5281/zenodo.7672225 , 10.5281/zenodo.10140806 , 10.5281/zenodo.7865511 , 10.5281/zenodo.10603060 , 10.5281/zenodo.11435545 , 10.5281/zenodo.14848368 , 10.5281/zenodo.10836043 , 10.5281/zenodo.15494361 , 10.5281/zenodo.7787491 , 10.5281/zenodo.10208208 , 10.5281/zenodo.18348542

Abstract

MiniZinc is a free and open-source constraint modelling language. You can use MiniZinc to model constraint satisfaction and optimization problems in a high-level, solver-independent way, taking advantage of a large library of pre-defined constraints. Your model is then compiled into FlatZinc, a solver input language that is understood by a wide range of solvers.

Please use the conference paper "MiniZinc: Towards a Standard CP Modelling Language" as the primary citation for MiniZinc. *In addition* please consider using the contained software citation to cite the specific version of MiniZinc you are using.

Related Organizations
Keywords

constraint programming, optimisation, Boolean Satisfiability, constraint modelling, mixed integer programming

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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