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137
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CP
1998
Springer
15 years 8 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow
ICTAI
2007
IEEE
15 years 10 months ago
On Portfolios for Backtracking Search in the Presence of Deadlines
Constraint satisfaction and propositional satisfiability problems are often solved using backtracking search. Previous studies have shown that portfolios of backtracking algorith...
Huayue Wu, Peter van Beek
126
Voted
CP
1998
Springer
15 years 8 months ago
Optimizing with Constraints: A Case Study in Scheduling Maintenance of Electric Power Units
A well-studied problem in the electric power industry is that of optimally scheduling preventative maintenance of power generating units within a power plant. We show how these pr...
Daniel Frost, Rina Dechter
135
Voted
JAIR
2010
145views more  JAIR 2010»
15 years 2 months ago
Fast Set Bounds Propagation Using a BDD-SAT Hybrid
Binary Decision Diagram (BDD) based set bounds propagation is a powerful approach to solving set-constraint satisfaction problems. However, prior BDD based techniques incur the si...
Graeme Gange, Peter J. Stuckey, Vitaly Lagoon
142
Voted
CP
2003
Springer
15 years 9 months ago
Using the Breakout Algorithm to Identify Hard and Unsolvable Subproblems
Abstract. Local search algorithms have been very successful for solving constraint satisfaction problems (CSP). However, a major weakness has been that local search is unable to de...
Carlos Eisenberg, Boi Faltings