%0 Conference Paper %1 Castillo:2003:gecco %A Castillo, Flor %A Marshall, Kenric %A Green, James %A Kordon, Arthur %B Genetic and Evolutionary Computation -- GECCO-2003 %C Chicago %D 2003 %E Cantú-Paz, E. %E Foster, J. A. %E Deb, K. %E Davis, D. %E Roy, R. %E O'Reilly, U.-M. %E Beyer, H.-G. %E Standish, R. %E Kendall, G. %E Wilson, S. %E Harman, M. %E Wegener, J. %E Dasgupta, D. %E Potter, M. A. %E Schultz, A. C. %E Dowsland, K. %E Jonoska, N. %E Miller, J. %I Springer-Verlag %K Applications Real World algorithms, design experiments, genetic of programming, regression, symbolic %P 1975--1985 %T A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building %V 2724 %X 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. %@ 3-540-40603-4

@inproceedings{Castillo:2003:gecco, 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.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Chicago}, author = {Castillo, Flor and Marshall, Kenric and Green, James and Kordon, Arthur}, biburl = {https://www.bibsonomy.org/bibtex/2e88dea4497718e64b262ecfd45197448/brazovayeye}, booktitle = {Genetic and Evolutionary Computation -- GECCO-2003}, editor = {Cant{\'u}-Paz, E. and Foster, J. A. and Deb, K. and Davis, D. and Roy, R. and O'Reilly, U.-M. and Beyer, H.-G. and Standish, R. and Kendall, G. and Wilson, S. and Harman, M. and Wegener, J. and Dasgupta, D. and Potter, M. A. and Schultz, A. C. and Dowsland, K. and Jonoska, N. and Miller, J.}, interhash = {c6ffae5cca8a82fe42a7cec957a4b1e0}, intrahash = {e88dea4497718e64b262ecfd45197448}, isbn = {3-540-40603-4}, keywords = {Applications Real World algorithms, design experiments, genetic of programming, regression, symbolic}, month = {12-16 July}, 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)}, pages = {1975--1985}, publisher = {Springer-Verlag}, publisher_address = {Berlin}, series = {LNCS}, timestamp = {2008-06-19T17:37:24.000+0200}, title = {A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building}, volume = 2724, year = 2003 }