evoVersion: Visualizing Evolutionary Histories
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{Kelly:2016:CEC,
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author = "Justin Kelly and Christian Jacob",
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title = "{evoVersion}: Visualizing Evolutionary Histories",
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booktitle = "Proceedings of 2016 IEEE Congress on Evolutionary
Computation (CEC 2016)",
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year = "2016",
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editor = "Yew-Soon Ong",
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pages = "814--821",
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address = "Vancouver",
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month = "24-29 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-5090-0623-6",
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DOI = "doi:10.1109/CEC.2016.7743875",
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abstract = "Evolutionary computation is a field characterized by
large data sets produced either through user-driven or
automatic evaluation. Because of the sheer magnitude of
evolved solutions that need to be reviewed and
analysed, it can be difficult to fully use evolutionary
data effectively. To address this challenge we present
evoVersion, a system capable of applying version
control methodologies to assist with both the
organization and visualization of evolutionary data for
the purpose of building upon previous sessions and
assisting with collaborative evolutionary design. Our
system is implemented in a 3D game engine, which can
make use of immersive and virtual reality visualization
of evolutionary design experiments.",
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notes = "WCCI2016",
- }
Genetic Programming entries for
Justin Kelly
Christian Jacob
Citations