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Published in:
2009 | OriginalPaper | Chapter
Special Time Series Prediction: Creep of Concrete
Authors : Juan L. Pérez, Fernando Martínez Abella, Alba Catoira, Javier Berrocal
Published in: Bio-Inspired Systems: Computational and Ambient Intelligence
Publisher: Springer Berlin Heidelberg
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This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm, based on Genetic Programming, enables the dynamic introduction of non-terminal operators shaped as mathematical expressions (operator-expression) that works as an unique node for the purpose of genetic operations (crossover and mutation). A new characteristic of this algorithm is the possibility of expansion the individuals, which, besides inducing a better global fitness, enables breaking up the expressions (operator-expression) into basic operators in order to achieve expression recombination. The performance of the implemented algorithm was showed by means of its application to the creep of structural concrete, a specific case of Construction Engineering where a best adjustment to the current regulative codes was subsequently achieved.