A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building

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

@InProceedings{Castillo:2003:gecco,

• author = "Flor Castillo and Kenric Marshall and James Green and Arthur Kordon",
• title = "A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building",
• booktitle = "Genetic and Evolutionary Computation -- GECCO-2003",
• editor = "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller",
• year = "2003",
• pages = "1975--1985",
• address = "Chicago",
• publisher_address = "Berlin",
• month = "12-16 " # jul,
• volume = "2724",
• series = "LNCS",
• ISBN = "3-540-40603-4",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, symbolic regression, design of experiments, Real World Applications",
• DOI = "doi:10.1007/3-540-45110-2_96",
• abstract = "A novel methodology for empirical model building using GP-generated symbolic regression in combination with statistical design of experiments as well as undesigned data is proposed. The main advantage of this methodology is the maximum data usage when extrapolation is necessary. The methodology offers alternative non-linear models that can either linearize the response in the presence of Lack or Fit or challenge and confirm the results from the linear regression in a cost effective and time efficient fashion. The economic benefit is the reduced number of additional experiments in the presence of Lack of Fit.",
• notes = "GECCO-2003. A joint meeting of the twelfth International Conference on Genetic Algorithms (ICGA-2003) and the eights Annual Genetic Programming Conference (GP-2003)",

}

Genetic Programming entries for Flor A Castillo Kenric A Marshall James Green Arthur K Kordon

Citations