TEAM
Released 2002
The TEAM package contains C++ implementations of both EuA (The Eugenic Algorithm) and TEAM (The Eugenic Algorithm with Modeling), two algorithms for evolving binary chromosomes. For details of the TEAM algorithm, please read our paper on TEAM.

Included are several sample experiments, as well as instructions for writing new chromosome evaluation functions.

Please direct questions, comments, etc. to malden@cs.utexas.edu.

Versions:
v1.0 7/23/02 malden
Download:
TAR
People
Matthew Alden Ph.D. Alumni mealden [at] uw 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.
Neuroevolution 2015
Risto Miikkulainen, In Encyclopedia of Machine Learning, 2nd Edition, Sammut, C. and Webb, G. I. (Eds.), Berlin, 2015. Springer.
Neuroevolution 2010
Risto Miikkulainen, In Encyclopedia of Machine Learning, New York 2010. Springer.
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.
Projects
Eugenic Evolution: The EuA, EuSANE, and TEAM 1998 - 2002
Areas of Interest
Evolutionary Computation Neuroevolution
Labs
Neural Networks