mMARLEDA
Released 2013
The mMarleda package extends the MARLEDA software to multiobjective optimization problems. (MARLEDA is an Estimation of Distribution Algorithm based on a Markov Random Fields model).
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People
Matthew Alden Ph.D. Alumni mealden [at] uw edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Publications
Neuroevolution Insights Into Biological Neural Computation 2025
Risto Miikkulainen, Science, Vol. 387 (2025), pp. eadp7478.
Neuroevolution: Harnessing Creativity in AI Model Design 2025
Sebastian Risi, David Ha, Yujin Tang, Risto Miikkulainen, To Appear In , MIT Press, Cambridge, MA 2025. MIT Press.
Neuroevolution 2022
Risto Miikkulainen, In Encyclopedia of Machine Learning and Data Science, 3rd Edition, Dinh Phung, Claude Sammut and Geoffrey I. Webb (Eds.), New York, 2022. Springer.
MARLEDA: Effective Distribution Estimation through Markov Random Fields 2016
Matthew Alden and Risto Miikkulainen, Theoretical Computer Science, Vol. 633 (2016), pp. 4-18.
Neuroevolution 2015
Risto Miikkulainen, In Encyclopedia of Machine Learning, 2nd Edition, Sammut, C. and Webb, G. I. (Eds.), Berlin, 2015. Springer.
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.
Areas of Interest
Applications Evolutionary Computation
Labs
Neural Networks