Symmetry-breaking in constraint satisfaction problems (CSPs) is a well-established area of AI research which has recently developed strong interactions with symbolic computation, i...
ctural abstractions that were introduced in [17]. Compared with other symmetry-breaking techniques, the big advantage of dynamic symmetry breaking is that it can accommodate dynami...
Daniel S. Heller, Aurojit Panda, Meinolf Sellmann,...
A number of different satisfaction and optimisation combinatorial problems have recently been approached with constraint programming over the domain of finite sets, for increased d...
ion of a given partial assignment of values to variables. Compared with other symmetry breaking techniques, the big advantage of dynamic symmetry breaking is that it can accommodat...
Many symmetry breaking methods have been proposed so far. Previous works have shown that these methods could be combined together under some conditions. We use a different angle :...