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EMO
2009
Springer
174views Optimization» more  EMO 2009»
14 years 4 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
CP
2004
Springer
14 years 3 months ago
The Tractability of Global Constraints
Abstract. Constraint propagation is one of the techniques central to the success of constraint programming. Fast algorithms are used to prune the search space either before or duri...
Christian Bessière, Emmanuel Hebrard, Brahi...
ICLP
1997
Springer
14 years 2 months ago
Solving Small TSPs with Constraints
This paper presents a set of techniques that makes constraint programming a technique of choice for solving small (up to 30 nodes) traveling salesman problems. These techniques in...
Yves Caseau, François Laburthe
ISSTA
2006
ACM
14 years 4 months ago
Object distance and its application to adaptive random testing of object-oriented programs
Testing with random inputs can give surprisingly good results if the distribution of inputs is spread out evenly over the input domain; this is the intuition behind Adaptive Rando...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr...
TIP
2010
94views more  TIP 2010»
13 years 4 months ago
User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs
One weakness in the existing interactive image segmentation algorithms is the lack of more intelligent ways to understand the intention of user inputs. In this paper, we advocate t...
Wenxian Yang, Jianfei Cai, Jianmin Zheng, Jiebo Lu...