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LS(graph & tree): a local search framework for constraint optimization on graphs and trees
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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents
Honolulu, Hawaii
SESSION: Constraint solving and programming track table of contents
Pages 1402-1407  
Year of Publication: 2009
ISBN:978-1-60558-166-8
Authors
Pham Quang Dung  University of Louvain, Louvain-la-Neuve, Belgium
Yves Deville  University of Louvain, Louvain-la-Neuve, Belgium
Pascal Van Hentenryck  Brown University, Providence, RI
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

LS(Graph & Tree) is a local search framework which aims at simplifying the modeling of Constraint Satisfaction Optimization Problems on graphs (CSOP on graphs or GCSOP). Optimum Constrained Trees (OCT) problems (a subclass of CSOP on graphs) in which we need to find an optimum subtree with additional constraints of a given weighted graph arise in many real-life applications. This paper introduces the LS(Graph & Tree) framework and local search abstractions for OCT problems. These abstractions are applied to model and solve the edge weighted k-Cardinality Tree (KCT) problem. The modeling as well as experimental results show the significance of the abstractions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Pham Quang Dung: colleagues
Yves Deville: colleagues
Pascal Van Hentenryck: colleagues