Object-level recombination of commodity applications

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Foster:2010:gecco,
  author =       "Blair Foster and Anil Somayaji",
  title =        "Object-level recombination of commodity applications",
  booktitle =    "GECCO '10: Proceedings of the 12th annual conference
                 on Genetic and evolutionary computation",
  year =         "2010",
  editor =       "Juergen Branke and Martin Pelikan and Enrique Alba and 
                 Dirk V. Arnold and Josh Bongard and 
                 Anthony Brabazon and Juergen Branke and Martin V. Butz and 
                 Jeff Clune and Myra Cohen and Kalyanmoy Deb and 
                 Andries P Engelbrecht and Natalio Krasnogor and 
                 Julian F. Miller and Michael O'Neill and Kumara Sastry and 
                 Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and 
                 Carsten Witt",
  isbn13 =       "978-1-4503-0072-8",
  pages =        "957--964",
  keywords =     "genetic algorithms, genetic programming, SBSE,
                 software recombination, ObjRecombGA, object-level
                 recombination, commodity programs",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  URL =          "http://people.scs.carleton.ca/~soma/pubs/bfoster-gecco-2010.pdf",
  DOI =          "doi:10.1145/1830483.1830653",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This paper presents ObjRecombGA, a genetic algorithm
                 framework for recombining related programs at the
                 object file level. A genetic algorithm guides the
                 selection of object files, while a robust link resolver
                 allows working program binaries to be produced from the
                 object files derived from two ancestor programs. Tests
                 on compiled C programs, including a simple web browser
                 and a well-known 3D video game, show that functional
                 program variants can be created that exhibit key
                 features of both ancestor programs. This work
                 illustrates the feasibility of applying evolutionary
                 techniques directly to commodity applications",
  notes =        "Unix sed (8 version pairs), Dillo (6 version pairs),
                 Quake (6 version pairs). Manual (Human interactive?)
                 fitness. Population=12, =30, =50. Mashup. linear bit
                 string GA, each bit refers to a C .o in two ancestor
                 programs. unix bash shell script. GNU ld linker. open
                 source in near future?

                 p962 'we were able to repair bugs and merge
                 functionality by recombining programs at the object
                 file level.'

                 Also known as \cite{1830653} GECCO-2010 A joint meeting
                 of the nineteenth international conference on genetic
                 algorithms (ICGA-2010) and the fifteenth annual genetic
                 programming conference (GP-2010)",
}

Genetic Programming entries for Blair Foster Anil Somayaji

Citations