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ILP
2004
Springer
14 years 27 days ago
Macro-Operators Revisited in Inductive Logic Programming
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
Érick Alphonse
CGO
2011
IEEE
12 years 11 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
CP
1998
Springer
13 years 11 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
ECAI
2008
Springer
13 years 9 months ago
Dynamic Backtracking for Distributed Constraint Optimization
We propose a new algorithm for solving Distributed Constraint Optimization Problems (DCOPs). Our algorithm, called DyBop, is based on branch and bound search with dynamic ordering ...
Redouane Ezzahir, Christian Bessiere, Imade Benela...
CP
2003
Springer
14 years 23 days 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