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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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 > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:09 UTC
Last Modified: 17 Jul 2012 14:33 UTC
Resource URI: (The current URI for this page, for reference purposes)
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