- title = "Interpreting a Genotype-Phenotype Map with Rich Representations in XMLGE",
- author = "Saoirse Amarteifio",
- school = "University of Limerick",
- year = "2005",
- type = "Master of Science in Computer Science",
- address = "University of Limerick, Ireland",
- keywords = "genetic algorithms, genetic programming, grammatical evolution, xml",
-
URL = "
http://ncra.ucd.ie/downloads/pub/SaoirseMScThesis.pdf",
- size = "177 pages",
-
abstract = "A novel XML implementation of Grammatical Evolution is
developed. This has a number of interesting features
such as the use of XSLT for genetic operators and the
use of reflection to build an object tree from an XML
expression tree. This framework is designed to be used
for remote or local evaluation of evolved program
structures and provides a number of abstraction layers
for program evaluation and evolution.
A dynamical swarm system is evolved as a special-case function induction problem to illustrate the application of XMLGE. Particle behaviours are evolved to optimise colony performance.
A dual process evolutionary algorithm based on the immune system using rich representations is developed. A dual process feature detection and feature integration model is described and the performance shown on benchmark GP problems. An adaptive feature detection method uses coevolving XPath antibodies to take selective interest in primary structures. Grammars are used to generate reciprocal binding structures (antibodies) given any primary domain grammar.
A codon compression algorithm is developed which shows performance improvements on symbolic regression and multiplexer problems. The algorithm is based on questions about the information content of a genome. This also exploits information from the rich representation of XMLGE.",
- language = "en",
