Learning to sort by using evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Trajkovski:2011:IIT,

• author = "Igor Trajkovski and Zharko Aleksovski",
• title = "Learning to sort by using evolution",
• booktitle = "International Conference on Innovations in Information Technology (IIT 2011)",
• year = "2011",
• month = "25-27 " # apr,
• pages = "250--254",
• address = "Abu Dhabi",
• size = "5 pages",
• abstract = "This paper present a work where Genetic Programming (GP) was used to the task of evolving imperative sort programs. A variety of interesting lessons were learnt. With proper selection of the primitives, sorting programs were evolved that are both general and non-trivial. Unique aspect of our approach is that we represent the individual programs with simple assembler code, rather than usual tree like structure. We also report the effect of different parameters on quality of the programs and time needed for finding the solution.",
• keywords = "genetic algorithms, genetic programming, assembler code, imperative sort programs, tree like structure, sorting",
• DOI = "doi:10.1109/INNOVATIONS.2011.5893827",
• notes = "Also known as \cite{5893827}",

}

Genetic Programming entries for Igor Trajkovski Zharko Aleksovski

Citations