UTCS Artificial Intelligence
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.
mealden [at] uw edu
MARLEDA: Effective Distribution Estimation through Markov Random Fields
Matthew Alden and Risto Miikkulainen, Technical Report TR-13-18, Department of Computer Science, The University of Texas at Austin.
MARLEDA: Effective Distribution Estimation Through Markov Random Fields
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
Matthew Alden, Aard-Jan van Kesteren, and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002)
, pp. 279-286 2002.
Eugenic Evolution: The EuA, EuSANE, and TEAM
1998 - 2002
Areas of Interest
Markovian Learning Estimation of Distribution Algorithm (MARLEDA) is an Estimation of Distribution Algorithm (EDA) that ...
The mMarleda package extends the
software to multiobjective optim...
The TEAM package contains C++ implementations of both EuA (The Eugenic Algorithm) and TEAM (The Eugenic Algorithm with M...
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