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ECAI
2004
Springer
14 years 1 months ago
Robust Solutions for Constraint Satisfaction and Optimization
Super solutions are a mechanism to provide robustness to constraint programs [10]. They are solutions in which, if a small number of variables lose their values, we are guaranteed ...
Emmanuel Hebrard, Brahim Hnich, Toby Walsh
ECAIW
2000
Springer
14 years 23 hour ago
Solving the Sports League Scheduling Problem with Tabu Search
In this paper we present a tabu approach for a version of the Sports League Scheduling Problem. The approach adopted is based on a formulation of the problem as a Constraint Satisf...
Jean-Philippe Hamiez, Jin-Kao Hao
AI
2003
Springer
14 years 28 days ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
CONSTRAINTS
1998
127views more  CONSTRAINTS 1998»
13 years 7 months ago
Experimental Analysis of Numeric and Symbolic Constraint Satisfaction Techniques for Temporal Reasoning
Many temporal applications like planning and scheduling can be viewed as special cases of the numeric and symbolic temporal constraint satisfaction problem. Thus we have developed ...
Malek Mouhoub, François Charpillet, Jean Pa...
AAAI
1994
13 years 9 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex