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» Solution Reuse in Dynamic Constraint Satisfaction Problems
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DISOPT
2007
155views more  DISOPT 2007»
15 years 13 days ago
Linear-programming design and analysis of fast algorithms for Max 2-CSP
The class Max (r, 2)-CSP (or simply Max 2-CSP) consists of constraint satisfaction problems with at most two r-valued variables per clause. For instances with n variables and m bin...
Alexander D. Scott, Gregory B. Sorkin
109
Voted
KBSE
1997
IEEE
15 years 4 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
IEAAIE
2001
Springer
15 years 5 months ago
A Mixed Closure-CSP Method to Solve Scheduling Problems
Scheduling problems can be seen as a set of temporal metric and disjunctive constraints. So, they can be formulated in terms of CSPs techniques. In the literature, there are CSP-b...
María Isabel Alfonso Galipienso, Federico B...
106
Voted
SODA
2000
ACM
114views Algorithms» more  SODA 2000»
15 years 1 months ago
Typical random 3-SAT formulae and the satisfiability threshold
: k-SAT is one of the best known among a wide class of random constraint satisfaction problems believed to exhibit a threshold phenomenon where the control parameter is the ratio, ...
Olivier Dubois, Yacine Boufkhad, Jacques Mandler
PPDP
2010
Springer
14 years 11 months ago
A declarative approach to robust weighted Max-SAT
The presence of uncertainty in the real world makes robustness to be a desired property of solutions to constraint satisfaction problems. Roughly speaking, a solution is robust if...
Miquel Bofill, Dídac Busquets, Mateu Villar...