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A comparison of fitness-case sampling methods for genetic programming.

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Title: A comparison of fitness-case sampling methods for genetic programming.
Authors: Martínez, Yuliana1, Naredo, Enrique1,2, Trujillo, Leonardo1, leonardo.trujillo@tectijuana.edu.mx, Legrand, Pierrick3,4,5, López, Uriel1
Source: Journal of Experimental & Theoretical Artificial Intelligence; Dec2017, Vol. 29 Issue 6, p1203-1224, 22p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+%26+Theoretical+Artificial+Intelligence%22">Journal of Experimental & Theoretical Artificial Intelligence</searchLink>; Dec2017, Vol. 29 Issue 6, p1203-1224, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=125544416
RecordInfo BibRecord:
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        Value: 10.1080/0952813X.2017.1328461
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: A comparison of fitness-case sampling methods for genetic programming.
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            NameFull: Trujillo, Leonardo
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              M: 12
              Text: Dec2017
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