Chapter 7 - Genetic programming for streamflow forecasting: a concise review of univariate models with a case study
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- @InCollection{DANANDEHMEHR:2021:ASF,
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author = "Ali {Danandeh Mehr} and Mir Jafar Sadegh Safari",
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title = "Chapter 7 - Genetic programming for streamflow
forecasting: a concise review of univariate models with
a case study",
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editor = "Priyanka Sharma and Deepesh Machiwal",
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booktitle = "Advances in Streamflow Forecasting",
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publisher = "Elsevier",
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pages = "193--214",
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year = "2021",
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isbn13 = "978-0-12-820673-7",
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DOI = "doi:10.1016/B978-0-12-820673-7.00007-X",
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URL = "https://www.sciencedirect.com/science/article/pii/B978012820673700007X",
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keywords = "genetic algorithms, genetic programming, Gene
expression programming, Sedre stream, Streamflow, Time
series modeling",
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abstract = "The state-of-the-art genetic programming (GP) has
received a great deal of attention over the past few
decades and has been applied to many research areas of
water resources engineering, including prediction of
hydrometeorological variables, design of hydraulic
structures, and recognition of hidden patterns in
hydrological phenomena such as rainfall-runoff,
interaction between surface water and groundwater, and
time series modeling of streamflow. A fundamental
advantage of this technique is the automatic generation
of explicit solutions for a given problem, which may
offer new insights into the problem at hand.
Considering the importance of accurate streamflow
forecasts in water resources management, this chapter
presents a brief review on the recent applications of
classical GP and its advanced versions in univariate
streamflow modeling. The representative papers were
selected from web of science database published in the
current decade 2011-19. This chapter also includes a
case study that compares two GP variants, namely
classical GP and gene expression programming for
1-month ahead forecasts of the mean monthly streamflow
in the Sedre Stream, a mountainous river in Antalya
Basin, Turkey",
- }
Genetic Programming entries for
Ali Danandeh Mehr
Mir Jafar Sadegh Safari
Citations