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Publication Detail
Genetic improvement of programs
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Conference Proceeding
  • Authors:
    Langdon WB
  • Publication date:
    01/01/2012
  • Pagination:
    605, 610
  • Journal:
    Mendel
  • Status:
    Published
  • Print ISSN:
    1803-3814
Abstract
Evolutionary computing, particularly genetic programming, can optimise software and software engineering, including evolving test benchmarks, search meta-heuristics, protocols, composing web services, improving hashing and garbage collection, redundant programming and even automatically fixing bugs. Often there are many potential ways to balance functionality with resource consumption. But a human programmer cannot try them all. Also the optimal trade off may be different on each hardware platform and it could vary over time or as usage changes. It may be genetic programming can automatically suggest different trade offs for each new market.
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