Predicting high-strength concrete parameters using weighted genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{journals/ewc/TsaiL11,

• author = "Hsing-Chih Tsai and Yong-Huang Lin",
• title = "Predicting high-strength concrete parameters using weighted genetic programming",
• journal = "Engineering with Computers",
• year = "2011",
• volume = "27",
• number = "4",
• pages = "347--355",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, weighted formula, prediction, high-strength concrete, weighted genetic programming",
• ISSN = "0177-0667",
• DOI = "doi:10.1007/s00366-011-0208-z",
• size = "9 pages",
• abstract = "Genetic programming (GP) is an evolutionary algorithm-based methodology that employs a binary tree topology with optimised functional operators. This study introduced weight coefficients to each GP linkage in a tree in order to create a new weighted genetic programming (WGP) approach. Two distinct advantages of the proposed WGP include (1) balancing the influences of the two front input branches and (2) incorporating weights throughout generated formulae. Resulting formulae contain a certain quantity of optimised functions and weights. Genetic algorithms are employed to accomplish WGP optimisation of function selection and proper weighting tasks. Case studies presented herein highlight a high-strength concrete reference study. Results showed that the proposed WGP not only improves GP in terms of introduced weight coefficients, but also provides both accurate results and formula outputs.",
• affiliation = "Department of Construction Engineering, National Taiwan University of Science and Technology, #43, Sec. 4, Keelung Rd, Taipei, 106 Taiwan, ROC",
• bibdate = "2011-09-23",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/ewc/ewc27.html#TsaiL11",

}

Genetic Programming entries for Hsing-Chih Tsai Yong-Huang Lin

Citations