The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming
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- @InProceedings{oneill:2018:GPTP,
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author = "Michael O'Neill and David Fagan",
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title = "The Elephant in the Room: Towards the Application of
Genetic Programming to Automatic Programming",
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booktitle = "Genetic Programming Theory and Practice XVI",
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year = "2018",
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editor = "Wolfgang Banzhaf and Lee Spector and Leigh Sheneman",
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pages = "179--192",
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address = "Ann Arbor, USA",
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month = "17-20 " # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-030-04734-4",
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URL = "http://link.springer.com/chapter/10.1007/978-3-030-04735-1_9",
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DOI = "doi:10.1007/978-3-030-04735-1_9",
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abstract = "We outline a research journey which set out to tackle
automatic programming and got distracted by success in
a series of real-World applications including
Software-defined Cellular Communications Networks,
Design, Engineering, Business Analytics and Finance and
Search-based Software Engineering. In particular the
domain of software-defined communications networks
represents a significant opportunity for the
application of automatic programming and will be the
focus of this chapter. When one takes a problem, as
opposed to method, perspective what becomes important
is finding the best method or combination of methods to
extract the best performance in the problem domain of
interest. We propose that the field of Genetic
Programming needs to take a broader perspective, to
return to its roots in the problem domain of Automatic
Programming, redefine itself to this end, and embrace a
wider set of methods in order to achieve success in
this holy grail problem.",
- }
Genetic Programming entries for
Michael O'Neill
David Fagan
Citations