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