Determination of Semi-Empirical Models for Mean Wave Overtopping Using an Evolutionary Polynomial Paradigm
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- @Article{altomare:2020:JMSE,
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author = "Corrado Altomare and Daniele B. Laucelli and
Hajime Mase and Xavi Gironella",
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title = "Determination of {Semi-Empirical} Models for Mean Wave
Overtopping Using an Evolutionary Polynomial Paradigm",
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journal = "Journal of Marine Science and Engineering",
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year = "2020",
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volume = "8",
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number = "8",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2077-1312",
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URL = "https://www.mdpi.com/2077-1312/8/8/570",
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DOI = "doi:10.3390/jmse8080570",
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abstract = "The present work employs the so-called Evolutionary
Polynomial Regression (EPR) algorithm to build up a
formula for the assessment of mean wave overtopping
discharge for smooth sea dikes and vertical walls. EPR
is a data-mining tool that combines and integrates
numerical regression and genetic programming. This
technique is here employed to dig into the relationship
between the mean discharge and main hydraulic and
structural parameters that characterise the problem
under study. The parameters are chosen based on the
existing and most used semi-empirical formulas for wave
overtopping assessment. Besides the structural
freeboard or local wave height, the unified models
highlight the importance of local water depth and wave
period in combination with foreshore slope and dike
slope on the overtopping phenomena, which are combined
in a unique parameter that is defined either as
equivalent or imaginary slope. The obtained models aim
to represent a trade-off between accuracy and
parsimony. The final formula is simple but can be
employed for a preliminary assessment of overtopping
rates, covering the full range of dike slopes, from
mild to vertical walls, and of water depths from the
shoreline to deep water, including structures with
emergent toes.",
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notes = "also known as \cite{jmse8080570}",
- }
Genetic Programming entries for
Corrado Altomare
Daniele B Laucelli
Hajime Mase
Xavi Gironella
Citations