Classification Using an Online Genetic Algorithm

Abstract

Genetic Algorithms (GAs) purport to mimic the behavior of natural selection. Many GAs, however, try to optimize their populations by means of a static fitness function — one that is derived from performance on a fixed set of examples. We propose an architecture for an online genetic algorithm (OLGA) for classification. An OLGA differs from standard genetic… (More)

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