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Soft Computing Techniques in Civil Engineering: Time Series Prediction

Soft Computing Techniques in Civil Engineering: Time Series Prediction

Juan L. Pérez, Juan R. Rabuñal, Fernando Martínez Abella
Copyright: © 2010 |Pages: 17
ISBN13: 9781615208937|ISBN10: 1615208933|ISBN13 Softcover: 9781616923310|EISBN13: 9781615208944
DOI: 10.4018/978-1-61520-893-7.ch010
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MLA

Pérez, Juan L., et al. "Soft Computing Techniques in Civil Engineering: Time Series Prediction." Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, edited by Marcos Gestal Pose and Daniel Rivero Cebrián, IGI Global, 2010, pp. 143-159. https://doi.org/10.4018/978-1-61520-893-7.ch010

APA

Pérez, J. L., Rabuñal, J. R., & Abella, F. M. (2010). Soft Computing Techniques in Civil Engineering: Time Series Prediction. In M. Gestal Pose & D. Rivero Cebrián (Eds.), Soft Computing Methods for Practical Environment Solutions: Techniques and Studies (pp. 143-159). IGI Global. https://doi.org/10.4018/978-1-61520-893-7.ch010

Chicago

Pérez, Juan L., Juan R. Rabuñal, and Fernando Martínez Abella. "Soft Computing Techniques in Civil Engineering: Time Series Prediction." In Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, edited by Marcos Gestal Pose and Daniel Rivero Cebrián, 143-159. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-893-7.ch010

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Abstract

Soft computing techniques are applied to a huge quantity of problems spread in several areas of science. In this case, Evolutionary Computation (EC) techniques are applied, in concrete Genetic Programming (GP), to a temporary problem associated to the field of Civil Engineering. The case of study of this technique has been centered in the prediction, over time, of the behavior of the structural concrete in controlled conditions. Given the temporary nature of the case of study, it has been necessary to make several changes to the classical algorithm of GP, among whom it can be emphasized the incorporation of a new operator that gives the GP the ability to be able to solve problems with temporary behavior. The obtained results shown that the proposed method has succeeded in improving the adjustment to the current regulations about creep in the structural concrete.

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