UTCS Artificial Intelligence
courses
talks/events
demos
people
projects
publications
software/data
labs
areas
admin
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).
Download:
TAR
People
Matthew Alden
Ph.D. Alumni
mealden [at] uw edu
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Publications
Neuroevolution
2022
Risto Miikkulainen, To Appear 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