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AAAI
2000
13 years 8 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
SAC
2003
ACM
14 years 20 days ago
reality: a Scalable Intelligent Travel Planner
Many information systems are used in a problem solving context. Examples are travel planning systems, catalogs in electronic commerce, or agenda planning systems. They can be made...
Marc Torrens, Patrick Hertzog, Loic Samson, Boi Fa...
BALT
2006
13 years 11 months ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
CP
2007
Springer
13 years 11 months ago
Efficient Computation of Minimal Point Algebra Constraints by Metagraph Closure
Abstract. Computing the minimal network (or minimal CSP) representation of a given set of constraints over the Point Algebra (PA) is a fundamental reasoning problem. In this paper ...
Alfonso Gerevini, Alessandro Saetti
CONSTRAINTS
2007
112views more  CONSTRAINTS 2007»
13 years 7 months ago
Maxx: Test Pattern Optimisation with Local Search Over an Extended Logic
In the ECAD area, the Test Generation (TG) problem consists in finding an input vector test for some possible diagnosis (a set of faults) of a digital circuit. Such tests may have ...
Francisco Azevedo