Evolutionary Computing in Hydrology

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InCollection{Babovic:2010:ECinH,

• author = "Vladan Babovic and Raghuraj Rao",
• title = "Evolutionary Computing in Hydrology",
• booktitle = "Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting",
• publisher = "World Scientific Publishing Co.",
• year = "2010",
• editor = "Bellie Sivakumar and Ronny Berndtsson",
• chapter = "7",
• pages = "347--369",
• address = "Singapore",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "981-4307-97-1",
• URL = "http://ebooks.worldscinet.com/ISBN/9789814307987/9789814307987_0007.html",
• DOI = "doi:10.1142/9789814307987_0007",
• abstract = "Many hydrologic processes are believed to be highly complex, nonlinear, time-varying, and spatially distributed. Hence, the governing mechanisms are not easily described by simple models. With unprecedented growth in instrumentation technology, recent investigations in hydrology are supported with immense quantities of data. In order to take full advantage of the information contained in such data, scientists are increasingly relying on a suite of data-driven techniques to understand the complex hydrologic processes. Evolutionary computing (EC) techniques, with a host of optimisation and modelling tools, can contribute significantly to achieve the objectives of this knowledge-discovery exercise in hydrology. This chapter discusses the utility of these EC techniques in attempting data analysis and modeling problems associated with hydrologic systems. It introduces the concept and working principle of EC techniques in general and reviews their applications to different domains of hydrology. The study also illustrates different case studies of genetic programming (GP) technique as a modelling, data assimilation, and model emulation tool",
• notes = "http://www.worldscibooks.com/environsci/7783.html",

}

Genetic Programming entries for Vladan Babovic K Rao Raghuraj

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