摘要: The application of evolutionary algorithms to data mining in the area microarray analysis is rapidly gaining interest community. large number gene expressions coupled with over a time course, provides an immense space possible relations. Some small portion this contains information that extreme value modern biomedicine terms proper diagnosis and treatment many diseases. Classical methods optimization tend provide solutions are limited worth simply because their typical entrapment locally optimal solutions. Escape from these local optima cannot be guaranteed use algorithms, but possibility, literature above demonstrates increased performance possible. In light overabundance expression data, simulated evolution towards development better predictive models holds promising future.