Borg: A General-Purpose Algorithm Portfolio System
Active from 2009 - 2013
The borg project includes a practical algorithm portfolio for decision problems, a set of tools for algorithm portfolio development, and a research platform for the application of statistical models and decision-theoretic reasoning to the algorithm portfolio setting.
http://nn.cs.utexas.edu/pages/research/borg/
People
Bryan Silverthorn Ph.D. Alumni bsilvert [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Publications
A Probabilistic Architecture for Algorithm Portfolios 2012
Bryan Silverthorn, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Surviving Solver Sensitivity: An ASP Practitioner's Guide 2012
Bryan Silverthorn, Yuliya Lierler and Marius Schneider, International Conference on Logic Programming (ICLP) (2012).
Latent Class Models for Algorithm Portfolio Methods 2010
Bryan Silverthorn and Risto Miikkulainen, In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence 2010.
Related Areas
Algorithm Portfolios Applications Learning for Planning and Problem Solving Satisfiability
Software/Data
Borg

The borg project includes a practical algorithm...

2011
Demos
Model-Based Visualization of Solver Performance DataBryan Silverthorn2011
Labs
Neural Networks