Paper Title:
Modeling Slump Flow of Concrete Using Genetic Programming
  Abstract

The present study applied genetic programming (GP) to estimate the slump flow of high-performance concrete (HPC) using seven concrete ingredients. GP optimizes functions and their associated coefficients simultaneously and is suitable to automatically discover complex relationships between nonlinear systems. The results demonstrated that GP generates a more accurate formula and has lower estimating errors for predicting the slump flow of HPC than multiple linear regressions (MLRs).

  Info
Periodical
Advanced Materials Research (Volumes 211-212)
Edited by
Ran Chen
Pages
374-378
DOI
10.4028/www.scientific.net/AMR.211-212.374
Citation
H. H. Hsu, L. Chen, C. H. Kou, C. H. Chiu, "Modeling Slump Flow of Concrete Using Genetic Programming", Advanced Materials Research, Vols. 211-212, pp. 374-378, 2011
Online since
February 2011
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Price
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