Eugenic Evolution Utilizing A Domain Model (2002)
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.
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), 279-286, 2002.

Matthew Alden Ph.D. Alumni mealden [at] uw edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Aard-Jan van Kesteren Former Visitor
TEAM The TEAM package contains C++ implementations of both EuA (The Eugenic Algorithm) and TEAM (The Eugenic Algorithm with M... 2002