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Semantically Driven Mutation in Genetic Programming

By Lawrence Beadle and Colin G. Johnson

Abstract

Using semantic analysis, we present a technique known as semantically driven mutation which can explicitly detect and apply behavioural changes caused by the syntactic changes in programs that result from the mutation operation. Using semantically driven mutation, we demonstrate increased performance in genetic programming on seven benchmark genetic programming problems over two different domains

Topics: QA76
Publisher: IEEE Press
Year: 2009
OAI identifier: oai:kar.kent.ac.uk:24113

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