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Publication Detail
Improving Source Code with Genetic Programming
  • Publication Type:
    Conference
  • Authors:
    Langdon WB, Harman M
  • Publisher:
    ACM
  • Publication date:
    2014
  • Published proceedings:
    GECCO 2014 Hot of the Press
  • Editors:
    Igel C,Arnold D
  • Addresses:
    Vancouver, Canada
  • Notes:
    publisher_address: New York, NY, USA organisation: SIGEvo keywords: genetic algorithms, genetic programming, SBSE, gismo size: 1 page 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)
Abstract
Optimising Existing Software with Genetic Programming (to appear in IEEE Transactions on Evolutionary Computation doi:10.1109/TEVC.2013.2281544) \citeLangdon: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.
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