Chapter
Apr 26, 2012

An Evolutionary Approach to Knowledge Induction: Genetic Programming in Hydraulic Engineering

Publication: Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges

Abstract

The process of scientific discovery has long been viewed as the pinnacle of creative thought. Thus, to many people, including some scientists themselves is seems unlikely candidate for automation by computer. However, over the past two decades researchers in AI have repeatedly questioned this attitude. The paper describes a specific evolutionary algorithm technique — genetic programming — within a scientific discovery framework, as well as its application on real world data.

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Go to Bridging the Gap
Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges
Pages: 1 - 10

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Published online: Apr 26, 2012

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Vladan Babovic
DHI Water & Environment, Agern Alle 11, DK-2970 Ho/rsholm, Denmark
Maarten Keijzer
DHI Water & Environment, Agern Alle 11, DK-2970 Ho/rsholm, Denmark
David Rodríguez Aguilera
University of Cordoba, Department of Mathematics E.T.S.I.A.M., Avda. Menéndez Pidal s/n, Cordobá, Spain
Joe Harrington
Department of Building and Civil Engineering, Cork Institute of Technology, Rossa Avenue, Cork, Ireland

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