Estimating Strength of Concrete Using a Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/icnc/HsuCKWC09,

• title = "Estimating Strength of Concrete Using a Grammatical Evolution",
• author = "Hsun-Hsin Hsu and Li Chen and Chang-Huan Kou and Tai-Sheng Wang and Sing-Han Chen",
• booktitle = "Fifth International Conference on Natural Computation, 2009. ICNC '09",
• year = "2009",
• editor = "Haiying Wang and Kay Soon Low and Kexin Wei and Junqing Sun",
• month = "14-16 " # aug,
• address = "Tianjian, China",
• publisher = "IEEE Computer Society",
• isbn13 = "978-0-7695-3736-8",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution",
• bibdate = "2010-01-21",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icnc/icnc2009-3.html#RaoWY09",
• pages = "134--138",
• DOI = "doi:10.1109/ICNC.2009.492",
• abstract = "The main purpose of this paper is to propose an incorporating a grammatical evolution (GE) into the genetic algorithm (GA), called GEGA, and apply it to estimate the compressive strength of high-performance concrete (HPC). The GE, an evolutionary programming type system, automatically discovers complex relationships between significant factors and the strength of HPC in a more transparent way to enhance our understanding of the mechanisms. A GA was used afterward with GE to optimize the appropriate function type and associated coefficients using over 1,000 examples for which experimental data were available. The results show that this novel model, GEGA, can obtain a highly nonlinear mathematical equation which outperforms than the traditional multiple regression analysis (RA) with lower estimating errors for predicting the compressive strength of HPC.",

}

Genetic Programming entries for Hsun-Hsin Hsu Li Chen Chang-Huan Kou Tai-Sheng Wang Sing-Han Chen

Citations