In this paper, we focus our attention on studying the robustness of solutions in DynCSPs. Thus, most robust solutions will be able to absorb changes in the ...
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Abstract. Constraint programming is a successful technology for solving combi- natorial problems modeled as constraint satisfaction problems (CSPs).
Jun 1, 2010 · In this paper, we focus our attention on studying the robustness of solutions in DynCSPs. Thus, most robust solutions will be able to absorb ...
In this paper, we focus our attention on studying the robustness of solutions in DynCSPs. Thus, most robust solutions will be able to absorb changes in the ...
Abstract. Super solutions are solutions in which, if a small num- ber of variables lose their values, we are guaranteed to be able to repair the solution ...
Branching Constraint Satisfaction. Problems for Solutions Robust under Likely Changes. In Rina. Dechter, editor, Proceedings of the 6th International ...
In this paper, we extend the concept of robustness and stability for Constraint Satisfaction Problems (CSPs) with ordered domains, where only limited.
Feb 1, 2023 · In this paper, we stress the need to extend the super solution framework along several dimensions to make it more useful practically. We ...
We show that we can find robust solutions that are less sensitive to such changes. We formulate the job shop scheduling problem as a CSP, with one variable for ...
[PDF] Robust Solutions for Constraint Satisfaction and Optimization
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Abstract. Super solutions are a mechanism to provide robustness to constraint programs [10]. They are solutions in which, if a small.