Visualizing Genetic Programming Ancestries Using Graph Databases
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{McPhee:2017:GECCO,
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author = "Nicholas Freitag McPhee and Maggie M. Casale and
Mitchell Finzel and Thomas Helmuth and Lee Spector",
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title = "Visualizing Genetic Programming Ancestries Using Graph
Databases",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
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series = "GECCO '17",
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year = "2017",
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isbn13 = "978-1-4503-4939-0",
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address = "Berlin, Germany",
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pages = "245--246",
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size = "2 pages",
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URL = "http://doi.acm.org/10.1145/3067695.3075617",
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DOI = "doi:10.1145/3067695.3075617",
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acmid = "3075617",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, ancestry,
graph database, visualization",
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month = "15-19 " # jul,
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abstract = "Previous work has demonstrated the utility of graph
databases as a tool for collecting and analysing
ancestry in evolutionary computation runs. That work
focused on sections of individual runs, whereas this
poster illustrates the application of these ideas on
the entirety of large runs (up to one million
individuals) and combinations of multiple runs. Here we
use these tools to generate graphs showing all the
ancestors of successful individuals from a variety of
stack-based genetic programming runs on software
synthesis problems. These graphs highlight important
moments in the evolutionary process. They also allow us
to compare the dynamics when using different
evolutionary tools, such as different selection
mechanisms or representations, as well as comparing the
dynamics for successful and unsuccessful runs.",
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notes = "Also known as \cite{McPhee:2017:VGP:3067695.3075617}
GECCO-2017 A Recombination of the 26th International
Conference on Genetic Algorithms (ICGA-2017) and the
22nd Annual Genetic Programming Conference (GP-2017)",
- }
Genetic Programming entries for
Nicholas Freitag McPhee
Maggie M Casale
Mitchell Finzel
Thomas Helmuth
Lee Spector
Citations