Unit-aware Multi-objective Genetic Programming for the Prediction of the Stokes Flow around a Sphere
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Zille:2021:GECCOcomp,
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author = "Heiner Zille and Fabien Evrard and Sanaz Mostaghim and
Berend {van Wachem}",
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title = "Unit-aware Multi-objective Genetic Programming for the
Prediction of the {Stokes} Flow around a Sphere",
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booktitle = "Proceedings of the 2021 Genetic and Evolutionary
Computation Conference Companion",
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year = "2021",
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editor = "Francisco Chicano and Alberto Tonda and
Krzysztof Krawiec and Marde Helbig and
Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and
Luis Paquete and Gabriela Ochoa and Jaume Bacardit and
Christian Gagne and Sanaz Mostaghim and
Laetitia Jourdan and Oliver Schuetze and Petr Posik and
Carlos Segura and Renato Tinos and Carlos Cotta and
Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and
Risto Miikkulainen and Bing Xue and Aneta Neumann and
Richard Allmendinger and Fuyuki Ishikawa and
Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton",
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pages = "327--328",
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address = "internet",
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series = "GECCO '21",
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month = jul # " 10-14",
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organisation = "SIGEVO",
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publisher = "Association for Computing Machinery",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, Fluid
Dynamics, Multi-objective: Poster",
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isbn13 = "978-1-4503-8351-6",
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URL = "https://www.is.ovgu.de/is_media/Research/Publications/Gecco2021_UnitAwareGeneticProgramming_Zille-download-1.pdf",
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DOI = "doi:10.1145/3449726.3459408",
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size = "2 pages",
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abstract = "we apply a unit-aware Genetic Programming (GP)
approach to solve a problem from the area of
fluid-dynamics: The Stokes flow around a sphere. We
formulate 6 test instances with different complexities
and explore the capabilities of single- and
multi-objective GP variants to solve this problem with
physically correct units of measurement. The study is a
starting point to investigate the amount of information
necessary to solve fluid-dynamics-related problems, and
whether the inclusion of physical dimensions is
advantageous or not for such optimization tasks. From
the simple flow presented in this study we aim to
extend this research to more complex flows with
multiple spheres and finite Reynolds numbers.",
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notes = "DEAP
Otto-von-Guericke University Magdeburg
GECCO-2021 A Recombination of the 30th International
Conference on Genetic Algorithms (ICGA) and the 26th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Heiner Zille
Fabien Evrard
Sanaz Mostaghim
Berend van Wachem
Citations