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UAI
2001
13 years 8 months ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
PDCAT
2005
Springer
14 years 28 days ago
Solving Very Large Traveling Salesman Problems by SOM Parallelization on Cluster Architectures
This paper describes how to solve very large TravelingSalesman Problems heuristically by the parallelization of self-organizing maps on cluster architectures. The used way of para...
Hannes Schabauer, Erich Schikuta, Thomas Weish&aum...
IJCAI
2001
13 years 8 months ago
Solving Non-Boolean Satisfiability Problems with Stochastic Local Search
Much excitement has been generated by the success of stochastic local search procedures at finding solutions to large, very hard satisfiability problems. Many of the problems on wh...
Alan M. Frisch, Timothy J. Peugniez
CCE
2004
13 years 7 months ago
Modeling and solving real-time scheduling problems by stochastic integer programming
This contribution deals with scheduling problems of flexible chemical batch processes with a special emphasis on their real-time character. This implies not only the need for suff...
Guido Sand, Sebastian Engell
CVPR
2009
IEEE
15 years 2 months ago
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
This paper studies a framework for matching an unknown number of corresponding structures in two images (shapes), motivated by detecting objects in cluttered background and lear...
Kun Zeng, Liang Lin, Song Chun Zhu, Xiaobai Liu