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- W2327783089 abstract "This paper presents a study of population diversity in genetic pro¬gramming with graph representation. Several measures of diversity based on entropy are considered to gain a deeper understanding of the conditions under which the evolution of genetic programming algorithms is successful. Standard statistics are used to analyze their correlation with performance." @default.
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- W2327783089 date "2008-10-19" @default.
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- W2327783089 title "Based on entropy population diversity in genetic programming with graph representation" @default.
- W2327783089 doi "https://doi.org/10.21936/si2008_v29.n3a.525" @default.
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