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Semantically driven crossover in genetic programming
Lawrence Beadle and Colin G Johnson
In IEEE World Congress on Computational Intelligence, pages 111-116. IEEE, January 2008.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.
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@inproceedings{2783,
author = {Lawrence Beadle and Colin G Johnson},
title = {Semantically Driven Crossover in Genetic
Programming},
month = {January},
year = {2008},
pages = {111-116},
keywords = {Genetic programming, program semantics, crossover, reduced ordered binary decision diagrams},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2008/2783},
publication_type = {inproceedings},
submission_id = {7915_1214826071},
ISBN = {978-1-4244-1823-7},
organization = {IEEE},
refereed = {Yes},
booktitle = {IEEE World Congress on Computational Intelligence},
}