This paper presents the first implementation of COMMA, a new solver independent language for modeling constraint- based problems. The combination of a constraint language with an object-oriented framework represents the base of the core of COMMA. Extension capabilities have also been included with the aim of tackling a wide range of applica- tions from combinatorial to continuous problems. A COMMA compiler has been implemented through a three layered architecture including a dynamic parsing system for han- dling efficiently the mapping process. In particular, COMMA models can be translated to different solvers, currently to ECLiPSe and Gecode/J.
Citation:
Ricardo Soto, Laurent Granvilliers, "The Design of COMMA: An Extensible Framework for Mapping Constrained Objects to Native Solver Models," ictai, vol. 1, pp.243-250, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007