The Max Problem Revisited: The Importance of Mutation in Genetic Programming

Koetzing, Timo; Sutton, Andrew M.; Neumann, Frank; O'Reilly, Una-May

doi:10.1016/j.tcs.2013.06.014

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The Max Problem Revisited: The Importance of Mutation in Genetic Programming

Koetzing, T., Sutton, A. M., Neumann, F., & O'Reilly, U.-M. (2014). The Max Problem Revisited: The Importance of Mutation in Genetic Programming. Theoretical Computer Science, 545, 94-107. doi:10.1016/j.tcs.2013.06.014.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-6CA0-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-9039-8

Genre: Journal Article

Latex : The {Max} Problem Revisited: The Importance of Mutation in Genetic Programming

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Creators:
Koetzing, Timo¹, Author
Sutton, Andrew M.², Author
Neumann, Frank², Author
O'Reilly, Una-May², Author

Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2013-07-08Date issued: 2014

Publication Status: Issued

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Identifiers: ISI: 000340337500007
DOI: 10.1016/j.tcs.2013.06.014
BibTex Citekey: KoetzingTCS2014a

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Title: Theoretical Computer Science

Source Genre: Journal

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Publ. Info: Amsterdam : Elsevier

Pages: - Volume / Issue: 545 Sequence Number: - Start / End Page: 94 - 107 Identifier: ISSN: 0304-3975