Genetic Programming Based Approach Towards Understanding the Dynamics of Urban Rainfall-runoff Process
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Chadalawada:2016:PE,
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author = "Jayashree Chadalawada and Vojtech Havlicek and
Vladan Babovic",
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title = "Genetic Programming Based Approach Towards
Understanding the Dynamics of Urban Rainfall-runoff
Process",
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journal = "Procedia Engineering",
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volume = "154",
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pages = "1093--1102",
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year = "2016",
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note = "12th International Conference on Hydroinformatics (HIC
2016) - Smart Water for the Future",
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ISSN = "1877-7058",
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DOI = "doi:10.1016/j.proeng.2016.07.601",
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URL = "http://www.sciencedirect.com/science/article/pii/S1877705816319907",
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abstract = "Genetic Programming (GP) is an evolutionary-algorithm
based methodology that is the best suited to model
non-linear dynamic systems. The potential of GP has not
been exploited to the fullest extent in the field of
hydrology to understand the complex dynamics involved.
The state of the art applications of GP in hydrological
modelling involve the use of GP as a short-term
prediction and forecast tool rather than as a framework
for the development of a better model that can handle
current challenges. In today's scenario, with
increasing monitoring programmes and computational
power, the techniques like GP can be employed for the
development and evaluation of hydrological models,
balancing, prior information, model complexity, and
parameter and output uncertainty. In this study, GP
based data driven model in a single and multi-objective
framework is trained to capture the dynamics of the
urban rainfall-runoff process using a series of tanks,
where each tank is a storage unit in a watershed that
corresponds to varying depths below the surface. The
hydro-meteorological data employed in this study
belongs to the Kent Ridge catchment of National
University Singapore, a small urban catchment (8.5
hectares) that receives a mean annual rainfall of 2500
mm and consists of all the major land uses of
Singapore.",
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keywords = "genetic algorithms, genetic programming,
Multi-objective optimization, System Identification,
Data driven modelling in Hydrology, Urban
Rainfall-Runoff modelling",
- }
Genetic Programming entries for
Jayashree Chadalawada
Vojtech Havlicek
Vladan Babovic
Citations