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Eugenic Evolution Utilizing A Domain Model (2002)
Matthew Alden
,
Aard-Jan van Kesteren
, and
Risto Miikkulainen
In this paper we introduce The Eugenic Algorithm with Modeling (TEAM), an evolutionary search algorithm that employs statistical analysis to promote construction of high-fitness chromosomes. A model of gene/fitness correlations is automatically generated to direct the construction process. When applied to the combinatorial optimization problems of finding a maximally weighted cut in a graph and minimizing the two-dimensional Rosenbrock function, TEAM performs well compared to other evolutionary algorithms at evolving high-fitness solutions.
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Citation:
In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002)
, 279-286, 2002.
Bibtex:
@InProceedings{alden:gecco02, title={Eugenic Evolution Utilizing A Domain Model}, author={Matthew Alden and Aard-Jan van Kesteren and Risto Miikkulainen}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002)}, pages={279-286}, url="http://nn.cs.utexas.edu/?alden:gecco02", year={2002} }
People
Matthew Alden
Ph.D. Alumni
mealden [at] uw edu
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Aard-Jan van Kesteren
Former Visitor
Projects
Eugenic Evolution: The EuA, EuSANE, and TEAM
1998 - 2002
Software/Data
TEAM
The TEAM package contains C++ implementations of both EuA (The Eugenic Algorithm) and TEAM (The Eugenic Algorithm with M...
2002
Areas of Interest
Evolutionary Computation
Reinforcement Learning