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AI
2003
Springer
15 years 8 months ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
MICRO
2006
IEEE
132views Hardware» more  MICRO 2006»
15 years 9 months ago
Data-Dependency Graph Transformations for Superblock Scheduling
The superblock is a scheduling region which exposes instruction level parallelism beyond the basic block through speculative execution of instructions. In general, scheduling supe...
Mark Heffernan, Kent D. Wilken, Ghassan Shobaki
EVOW
2009
Springer
15 years 10 months ago
Diversity Control and Multi-Parent Recombination for Evolutionary Graph Coloring Algorithms
We present a hybrid evolutionary algorithm for the graph coloring problem (Evocol). Evocol is based on two simple-but-effective ideas. First, we use an enhanced crossover that col...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
AAAI
1996
15 years 4 months ago
Lazy Arc Consistency
Arc consistency filtering is widely used in the framework of binary constraint satisfaction problems: with a low complexity, inconsistency may be detected,and domains are filtered...
Thomas Schiex, Jean-Charles Régin, Christin...
CORR
2011
Springer
139views Education» more  CORR 2011»
14 years 7 months ago
Clustering Partially Observed Graphs via Convex Optimization
This paper considers the problem of clustering a partially observed unweighted graph – i.e. one where for some node pairs we know there is an edge between them, for some others ...
Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu