Open issues in genetic programming
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gp-bibliography.bib Revision:1.7970
- @Article{ONeill:2010:GPEM,
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author = "Michael O'Neill and Leonardo Vanneschi and
Steven Gustafson and Wolfgang Banzhaf",
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title = "Open issues in genetic programming",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2010",
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volume = "11",
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number = "3/4",
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pages = "339--363",
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month = sep,
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note = "Tenth Anniversary Issue: Progress in Genetic
Programming and Evolvable Machines",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "1389-2576",
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DOI = "doi:10.1007/s10710-010-9113-2",
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size = "25 pages",
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abstract = "It is approximately 50 years since the first
computational experiments were conducted in what has
become known today as the field of Genetic Programming
(GP), twenty years since John Koza named and
popularised the method, and ten years since the first
issue appeared of the Genetic Programming & Evolvable
Machines journal. In particular, during the past two
decades there has been a significant range and volume
of development in the theory and application of GP, and
in recent years the field has become increasingly
applied. There remain a number of significant open
issues despite the successful application of GP to a
number of challenging real-world problem domains and
progress in the development of a theory explaining the
behavior and dynamics of GP. These issues must be
addressed for GP to realise its full potential and to
become a trusted mainstream member of the computational
problem solving toolkit. In this paper we outline some
of the challenges and open issues that face researchers
and practitioners of GP. We hope this overview will
stimulate debate, focus the direction of future
research to deepen our understanding of GP, and further
the development of more powerful problem solving
algorithms.",
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notes = "cited by \cite{ONeill:GPEM20}",
- }
Genetic Programming entries for
Michael O'Neill
Leonardo Vanneschi
Steven M Gustafson
Wolfgang Banzhaf
Citations