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Gecode

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Gecode
Original author Christian Schulte Edit this on Wikidata
Stable release
6.2.0[1]  Edit this on Wikidata / 12 April 2019; 6 years ago (12 April 2019)
Repository
Written inC++ Edit this on Wikidata
Type constraint satisfaction Edit this on Wikidata
License MIT License (free software)
Websitewww.gecode.dev  Edit this on Wikidata

Gecode (for Generic Constraint Development Environment) is a software library for solving Constraint satisfaction problems. It is programmed in C++ and distributed as free software under the permissive MIT license. Gecode has bindings for several programming languages such as Prolog, Python and Ruby, and an interface to the AMPL modeling language.

The development of Gecode has been led by Christian Schulte,[2] but has been contributed to by many other researchers and programmers, including Denys Duchier, Filip Konvicka, Gabor Szokoli, Guido Tack, Håkan Kjellerstrand, Mikael Lagerkvist, Patrick Pekczynski, Raphael Reischuk, and Tias Guns.[3]

The first release of Gecode was in December 2005.[4] Since then, Gecode has rapidly become one of the most prominent constraint programming systems.[citation needed ] Reasons for this are that it runs fast, is extensible, free and open source under a permissive licence, and is written in a popular language. As well as being very useful in its own right, its extensibility and licensing makes it highly suitable for use on other projects.[5] Gecode has been ported to several language, for instance, Gelisp is a wrapper of Gecode for Lisp.[6]

Notes

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  1. ^ "Gecode: Changelog" . Retrieved 28 October 2019.
  2. ^ "Statement on Christian Schulte's web page, Nov 10 2009". Archived from the original on 2014年06月06日. Retrieved 2014年06月04日.
  3. ^ Gecode Documentation list of authors, Nov 10 2009
  4. ^ "Gecode: Changelog". www.gecode.dev. Retrieved 2024年06月26日.
  5. ^ List of projects using Gecode
  6. ^ Mauricio Toro, Carlos Agon, Camilo Rueda, Gerard Assayag. "GELISP: A FRAMEWORK TO REPRESENT MUSICAL CONSTRAINT SATISFACTION PROBLEMS AND SEARCH STRATEGIES." Journal of Theoretical and Applied Information Technology 86 (2). 2016. 327-331.

References

[edit ]
[edit ]
Data formats
Modeling tools
Solvers
LP, MILP
QP, MIQP
QCP, MIQCP
SOCP, MISOCP
SDP, MISDP
NLP, MINLP
GO
CP


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