The Emergence of Useful Bias in Self-focusing Genetic Programming for Software Optimisation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Cody-Kenny:2013:SSBSE,

• author = "Brendan Cody-Kenny and Stephen Barrett",
• title = "The Emergence of Useful Bias in Self-focusing Genetic Programming for Software Optimisation",
• booktitle = "Symposium on Search-Based Software Engineering",
• year = "2013",
• editor = "Guenther Ruhe and Yuanyuan Zhang",
• volume = "8084",
• series = "Lecture Notes in Computer Science",
• pages = "306--311",
• address = "Leningrad",
• month = aug # " 24-26",
• publisher = "Springer",
• note = "Graduate Student Track",
• keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE",
• isbn13 = "978-3-642-39741-7",
• DOI = "doi:10.1007/978-3-642-39742-4_29",
• size = "6 pages",
• abstract = "The use of Genetic Programming (GP) to optimise increasingly large software code has been enabled through biasing the application of GP operators to code areas relevant to the optimisation of interest. As previous approaches have used various forms of static bias applied before the application of GP, we show the emergence of bias learnt within the GP process itself which improves solution finding probability in a similar way. As this variant technique is sensitive to the evolutionary lineage, we argue that it may more accurately provide bias in programs which have undergone heavier modification and thus find solutions addressing more complex issues.",
• notes = "http://ssbse.info/2013/accepted-papers/",

}

Genetic Programming entries for Brendan Cody-Kenny Stephen Barrett

Citations