Genetic Programming with Multi-layered Population Structure
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Hasegawa:2017:GECCO,
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author = "Taku Hasegawa and Naoki Mori and Keinosuke Matsumoto",
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title = "Genetic Programming with Multi-layered Population
Structure",
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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 = "229--230",
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size = "2 pages",
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URL = "http://doi.acm.org/10.1145/3067695.3076048",
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DOI = "doi:10.1145/3067695.3076048",
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acmid = "3076048",
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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, local search,
population structure",
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month = "15-19 " # jul,
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abstract = "This paper focus on the control of building blocks in
the population of Genetic Programming (GP). We propose
a GP algorithm that employs multi-layered population
and searches solutions by using local search and
crossover. The computational experiments were carried
out by taking several classical Boolean problems as
examples.",
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notes = "Also known as \cite{Hasegawa:2017:GPM:3067695.3076048}
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
Taku Hasegawa
Naoki Mori
Keinosuke Matsumoto
Citations