Matthew Alden
Ph.D. Alumni
Matt's PhD work focused on estimation of distribution algorithms and their application to RNA folding. After graduating, he became a lecturer at the University of Washington, Tacoma.
MARLEDA: Effective Distribution Estimation through Markov Random Fields 2016
Matthew Alden and Risto Miikkulainen, Theoretical Computer Science, Vol. 633 (2016), pp. 4-18.
MARLEDA: Effective Distribution Estimation Through Markov Random Fields 2007
Matthew Alden, PhD Thesis, Department of Computer Sciences, the University of Texas at Austin. Also Technical Report AI07-349.
Eugenic Evolution Utilizing A Domain Model 2002
Matthew Alden, Aard-Jan van Kesteren, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), pp. 279-286 2002.
MARLEDA Markovian Learning Estimation of Distribution Algorithm (MARLEDA) is an Estimation of Distribution Algorithm (EDA) that ... 2013

mMARLEDA The mMarleda package extends the MARLEDA software to multiobjective optim... 2013

TEAM The TEAM package contains C++ implementations of both EuA (The Eugenic Algorithm) and TEAM (The Eugenic Algorithm with M... 2002

Formerly affiliated with Neural Networks