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Publication Detail
New operators for non-functional genetic improvement
  • Publication Type:
  • Authors:
    Petke J
  • Publication date:
  • Pagination:
    1541, 1542
  • Published proceedings:
    GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • ISBN-13:
  • Status:
Genetic improvement uses automated search to find improved versions of existing software. Typically software is modified using either delete, copy or replace operations at the level of source code, its abstract syntax tree, binary or assembly representaion. Impressive improvements have been achieved through this approach, yet research in the use of other search operators is largely unexplored. We propose several ways for devising new search operators for improvement of non-functional properties using a genetic improvement apporach.
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