Classification using cultural co-evolution and genetic programming
作者： Myriam Z. Abramson , Lawrence Hunter
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摘要: Genetic programming has been used to evolve decision trees for classification [Koza, 1992] but its role as an inductive learner remains elusive. This paper examines a possible of genetic in cultural co-evolution model learners developed by Hunter. We demonstrate that this cooperation allows much faster than their individual components and report encouraging results on class problems.
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