Semantically Driven Crossover in Genetic Programming

Beadle, Lawrence and Johnson, Colin G. (2008) Semantically Driven Crossover in Genetic Programming. In: IEEE World Congress on Computational Intelligence, JUN 01-06, 2008, Hong Kong, China. (Full text available)

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Abstract

Crossover forms one of the core operations in genetic programming and has been the subject of many different investigations. We present a novel technique, based on semantic analysis of programs, which forces each crossover to make candidate programs take a new step in the behavioural search space. We demonstrate how this technique results in better performance and smaller solutions in two separate genetic programming experiments.

Item Type:	Conference or workshop item (Paper)
Uncontrolled keywords:	Genetic programming, program semantics, crossover, 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 12:09
Last Modified:	17 Jul 2012 14:33
Resource URI:	https://kar.kent.ac.uk/id/eprint/23989 (The current URI for this page, for reference purposes)