neural networks research group
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Algorithm Portfolios
Algorithm portfolio methods operate in problem domains for which there are multiple algorithms with complementary strengths. The portfolio method applies patterns learned from experience to better allocate computational resources among the algorithms, attempting to apply each algorithm primarily to those problem instances to which it is best suited. Applications of the methods developed in this work include SAT and answer set programming.
Publications
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Surviving Solver Sensitivity: An ASP Practitioner's Guide
Bryan Silverthorn, Yuliya Lierler and Marius Schneider
In
International Conference on Logic Programming (ICLP)
, 2012.
2012
A Probabilistic Architecture for Algorithm Portfolios
Bryan Silverthorn
PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2012.
2012
Latent Class Models for Algorithm Portfolio Methods
Bryan Silverthorn and Risto Miikkulainen
In
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence
, 2010.
2010
People
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Bryan Silverthorn
Ph.D. Alumni
bsilvert [at] cs utexas edu
Projects
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Borg: A General-Purpose Algorithm Portfolio System
2009 - 2013
Demos
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Model-Based Visualization of Solver Performance Data
Bryan Silverthorn
2011
Software/Data
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Borg
The borg project
includes a practical algorithm...
2011