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HIS
2004
15 years 1 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
14 years 11 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
15 years 4 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
15 years 5 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
15 years 29 days 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...