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Sorting Networks
Released 2010
This package contains software utilizing an approach based on symmetry and evolution to minimize the number of comparators in sorting networks. This approach is more scalable than previous methods and finds smaller networks.
Download:
TAR
People
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Vinod Valsalam
Ph.D. Alumni
vkv [at] alumni utexas net
Publications
Using Symmetry and Evolutionary Search to Minimize Sorting Networks
2013
Vinod K. Valsalam and Risto Miikkulainen,
Journal of Machine Learning Research
, Vol. 14, Feb (2013), pp. 303--331.
Utilizing Symmetry and Evolutionary Search to Minimize Sorting Networks
2011
Vinod K. Valsalam and Risto Miikkulainen, Technical Report AITR-11-09, Department of Computer Sciences, The University of Texas at Austin.
Utilizing Symmetry in Evolutionary Design
2010
Vinod Valsalam, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI-10-04.
Projects
Utilizing Symmetry in Evolutionary Design
2007 - 2010
Learning Strategic Behavior in Sequential Decision Tasks
2009 - 2014
Areas of Interest
Evolutionary Computation
Labs
Neural Networks