The G12 project: Mapping solver independent models to efficient solutions. The G12 project recently started by National ICT Australia (NICTA) is an ambitious project to develop a software platform for solving large scale industrial combinatorial optimisation problems. The core design involves three languages: Zinc, Cadmium and Mercury (Group 12 of the periodic table). Zinc is a declarative modelling language for expressing problems, independent of any solving methodology. Cadmium is a mapping language for mapping Zinc models to underlying solvers and/or search strategies, including hybrid approaches. Finally, existing Mercury will be extended as a language for building extensible and hybridizable solvers. The same Zinc model, used with different Cadmium mappings, will allow us to experiment with different complete, local, or hybrid search approaches for the same problem. This talk will explain the G12 global design, the final G12 objectives, and our progress so far.
Keywords for this software
References in zbMATH (referenced in 7 articles , 1 standard article )
Showing results 1 to 7 of 7.
- Schutt, Andreas; Feydy, Thibaut; Stuckey, Peter J.; Wallace, Mark G.: Solving RCPSP/max by lazy clause generation (2013)
- Janičić, Predrag: URSA: a system for uniform reduction to SAT (2012)
- Puchinger, Jakob; Stuckey, Peter J.; Wallace, Mark G.; Brand, Sebastian: Dantzig-Wolfe decomposition and branch-and-price solving in G12 (2011)
- Duck, Gregory J.; De Koninck, Leslie; Stuckey, Peter J.: Cadmium: an implementation of ACD term rewriting (2008)
- Marriott, Kim; Nethercote, Nicholas; Rafeh, Reza; Stuckey, Peter J.; Garcia de la Banda, Maria; Wallace, Mark: The design of the zinc modelling language (2008)
- Puchinger, Jakob; Stuckey, Peter J.; Wallace, Mark; Brand, Sebastian: From high-level model to branch-and-price solution in G12 (2008)
- Stuckey, Peter J.; Garcia de la Banda, Maria; Maher, Michael; Marriott, Kim; Slaney, John; Somogyi, Zoltan; Wallace, Mark; Walsh, Toby: The G12 project: Mapping solver independent models to efficient solutions (2005)