The Emergence of Useful Bias in Self-focusing Genetic Programming for Software Optimisation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @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