Journal
2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5
Volume -, Issue -, Pages 1336-1342Publisher
IEEE
DOI: 10.1109/CEC.2009.4983099
Keywords
Genetic programming; program semantics; semantically driven mutation; reduced ordered binary decision diagrams
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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.
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