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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In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), 279-286, 2002.

@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://www.cs.utexas.edu/users/ai-lab/?alden:gecco02", year={2002} }