Improving Source Code with Genetic Programming

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

@InProceedings{Langdon:gecco2014_hot,
  author =       "William B. Langdon and Mark Harman",
  title =        "Improving Source Code with Genetic Programming",
  booktitle =    "GECCO 2014 Hot of the Press",
  year =         "2014",
  editor =       "Christian Igel and Dirk Arnold",
  address =      "Vancouver, Canada",
  publisher_address = "New York, NY, USA",
  month =        "12-15 " # jul,
  organisation = "SIGEvo",
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming, SBSE, gismo",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/gismo/Langdon_gecco2014_hot.pdf",
  size =         "1 page",
  abstract =     "Optimising Existing Software with Genetic Programming
                 (to appear in IEEE Transactions on Evolutionary
                 Computation doi:10.1109/TEVC.2013.2281544)
                 \cite{Langdon:2013:ieeeTEC} describes a recent
                 experiment in which a state-of-the-art Bioinformatics
                 program was manipulated by GP to give a variant
                 automatically tuned to a particular task. The program
                 consists of 50000 lines of C++. Evolution was able to
                 find a change which speeds it up on the chosen task on
                 average by a factor of 70, yet still give good answers,
                 indeed the results are slightly better.

                 GISMOE uses a BNF grammar specific to Bowtie2 when
                 mutating genetically improved programs (GIP). Patches
                 delete, move or insert existing lines of code. No new
                 code is created. Mutants' fitness is measured by
                 running them using DNA from The Thousand Genomes
                 Project.",
  notes =        "Abstract only in conference booklet.

                 GECCO-2014 A joint meeting of the twenty third
                 international conference on genetic algorithms
                 (ICGA-2014) and the nineteenth annual genetic
                 programming conference (GP-2014)",
}

Genetic Programming entries for William B Langdon Mark Harman

Citations