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Publication Detail
Genetic Improvement of Software for Multiple Objectives
  • Publication Type:
  • Authors:
    Langdon WB
  • Publisher:
  • Publication date:
  • Pagination:
    12, 28
  • Published proceedings:
  • Volume:
  • Series:
  • Editors:
    Labiche Y,Barros M
  • ISBN-13:
  • Addresses:
    Bergamo, Italy
  • Notes:
    Invited keynote keywords: genetic algorithms, genetic programming, genetic improvement, GISMO size: 15 pages notes: Slides http://ssbse.org/2015/wp-content/uploads/Slides_Genetic_Improvement_of_Software_for_Multiple_Objectives.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gismo/langdon_2015_ssbse_slides.pdf http://www.cs.ucl.ac.uk/staff/W.Langdon/gismo/ http://ssbse.org/2015/?page_id=19
Genetic programming (GP) can increase computer program’s functional and non-functional performance. It can automatically port or refactor legacy code written by domain experts. Working with programmers it can grow and graft (GGGP) new functionality into legacy systems and parallel Bioinformatics GPGPU code. We review Genetic Improvement (GI) and SBSE research on evolving software.
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