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) |
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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: | https://kar.kent.ac.uk/id/eprint/23989 (The current URI for this page, for reference purposes) |
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