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» GRASP - evolution for constraint satisfaction problems
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AAAI
1994
14 years 11 months ago
Dead-End Driven Learning
The paper evaluates the eectiveness of learning for speeding up the solution of constraint satisfaction problems. It extends previous work (Dechter 1990) by introducing a new and ...
Daniel Frost, Rina Dechter
CORR
2010
Springer
69views Education» more  CORR 2010»
14 years 10 months ago
Efficient Knowledge Base Management in DCSP
DCSP (Distributed Constraint Satisfaction Problem) has been a very important research area in AI (Artificial Intelligence). There are many application problems in distributed AI t...
Hong Jiang
WIOPT
2011
IEEE
14 years 1 months ago
Portfolio optimization in secondary spectrum markets
—In this paper, we address the spectrum portfolio optimization (SPO) question in the context of secondary spectrum markets, where bandwidth (spectrum access rights) can be bought...
Praveen Kumar Muthuswamy, Koushik Kar, Aparna Gupt...
CP
1999
Springer
15 years 2 months ago
A Framework for Constraint Programming Based Column Generation
Column generation is a state-of-the-art method for optimally solving di cult large-scale optimization problems such as airline crew assignment. We show how to apply column generati...
Ulrich Junker, Stefan E. Karisch, Niklas Kohl, Bo ...
IFM
2009
Springer
15 years 4 months ago
Verifying UML/OCL Operation Contracts
In current model-driven development approaches, software models are the primary artifacts of the development process. Therefore, assessment of their correctness is a key issue to e...
Jordi Cabot, Robert Clarisó, Daniel Riera