Semantically Driven Mutation in Genetic Programming

Beadle, Lawrence and Johnson, Colin G. (2009) Semantically Driven Mutation in Genetic Programming. In: Proceedings of the 2009 IEEE Congress on Evolutionary Computation. (Full text available)

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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.

Item Type:	Conference or workshop item (Paper)
Uncontrolled keywords:	Genetic Programming, Program Semantics, Semantically Driven Mutation, Reduced Ordered Binary Decision Diagrams
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions:	Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User:	Mark Wheadon
Date Deposited:	29 Mar 2010 12:15
Last Modified:	06 Sep 2011 04:56
Resource URI:	https://kar.kent.ac.uk/id/eprint/24113 (The current URI for this page, for reference purposes)