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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/7342

Title: Genetic evolution of sorting programs through a novel genotype-phenotype mapping
Authors: Xhemali, Daniela
Hinde, Chris J.
Stone, R.G.
Keywords: Genetic programming
Genotype-phenotype mapping
XML
Regular expressions
Software programs
Issue Date: 2010
Publisher: INSTICC
Citation: XHEMALI, D., HINDE, C.J. and STONE, R., 2010. Genetic evolution of sorting programs through a novel genotype-phenotype mapping. IN: Filipe, J. and Kacprzyk, J. (eds.). Proceedings of ICEC 2010, Valencia, Spain, 24th-26th October, pp. 190-198.
Abstract: This paper presents an adaptable genetic evolutionary system, which includes an innovative approach to mapping genotypes to phenotypes through XML rules. The evolutionary system was originally created to evolve Regular Expressions (REs) to automate the extraction of web information. However, the system has been adapted to work with a completely different domain – Complete Software Programs – to demonstrate the flexibility of this approach. Specifically, the paper concentrates on the evolution of 'Sorting' programs . Experiments show that our evolutionary system is successful and can be adapted to work for challenging domains with minimum effort.
Description: This is a conference paper that was contributed for ICEC 2010.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/7342
Publisher Link: http://www.insticc.org/InsticcPortal/Home.aspx
ISBN: 9789898425317
Appears in Collections:Conference Papers (Computer Science)

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