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HIS
2004
13 years 6 months ago
Q'tron Neural Networks for Constraint Satisfaction
This paper proposes the methods to solve the constraint satisfaction problems (CSPs) using Q'tron neural networks (NNs). A Q'tron NN is local-minima free if it is built ...
Tai-Wen Yue, Mei-Ching Chen
CSR
2008
Springer
13 years 5 months ago
Colouring, constraint satisfaction, and complexity
Constraint satisfaction problems have enjoyed much attention since the early seventies, and in the last decade have become also a focus of attention amongst theoreticians. Graph c...
Pavol Hell, Jaroslav Nesetril
CP
2001
Springer
13 years 9 months ago
Collaborative Learning for Constraint Solving
Abstract. Although constraint programming offers a wealth of strong, generalpurpose methods, in practice a complex, real application demands a person who selects, combines, and ref...
Susan L. Epstein, Eugene C. Freuder
IRI
2006
IEEE
13 years 11 months ago
A new heuristic-based albeit complete method to extract MUCs from unsatisfiable CSPs
When a Constraint Satisfaction Problem (CSP) admits no solution, most current solvers express that the whole search space has been explored unsuccessfully but do not exhibit which...
Éric Grégoire, Bertrand Mazure, C&ea...
AAAI
2000
13 years 6 months ago
Asynchronous Search with Aggregations
Many problem-solving tasks can be formalized as constraint satisfaction problems (CSPs). In a multi-agent setting, information about constraints and variables may belong to differ...
Marius-Calin Silaghi, Djamila Sam-Haroud, Boi Falt...