Computer Program Synthesis Methodologies: Proceedings of the NATO Advanced Study Institute Held at Bonas.France, September 28-October 10, 1981
Towards automating of document structure transformations
Proceedings of the 2002 ACM symposium on Document engineering
A Framework for Distributed Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Automating XML document structure transformations
Proceedings of the 2003 ACM symposium on Document engineering
On modular transformation of structural content
Proceedings of the 2004 ACM symposium on Document engineering
Supervised learning for the legacy document conversion
Proceedings of the 2004 ACM symposium on Document engineering
Towards the faster transformation of XML documents
Journal of Information Science
Automatic building of frameworks for processing XML documents
WebMedia '06 Proceedings of the 12th Brazilian Symposium on Multimedia and the web
An XML document transformation algorithm inferred from an edit script between DTDs
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
Automatic generation of XSLT stylesheets using evolutionary algorithms
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Evolving XSLT Stylesheets for Document Transformation
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
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XML has became a standard for structured data, and very often transformations from one specific format to another are needed. XSLT stylesheets are programs designed for this purpose, and they use XPath expressions to select sets of nodes within the document. In this paper a new version of an evolutionary algorithm that creates XSLT from examples is presented, improving on previously obtained results by testing a new individual representation with a new set of operators, based mainly on evolution of XPaths with a fixed XSLT program structure. The experiments show that this new representation, and a lower set of operators, yield better results in less generations that in our previous version.