Symbolic Regression In Design Of Experiments: A Case Study With Linearizing Transformations. - Flor A. Castillo; Ken A. Marshall; James L. Green; Arthur K. Kordon (GECCO, 2002)

A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building. - Flor A. Castillo; Ken A. Marshall; James L. Green; Arthur K. Kordon (GECCO, 2003)

Using evolutionary algorithms to suggest variable transformations in linear model lack-of-fit situations. - Flor A. Castillo; Jeff D. Sweeney; Wayne E. Zirk (IEEE Congress on Evolutionary Computation, 2004)

Competitive advantages of evolutionary computation for industrial applications. - Arthur K. Kordon; Alex N. Kalos; Flor A. Castillo; Elsa M. Jordaan; Guido Smits; Mark E. Kotanchek (Congress on Evolutionary Computation, 2005)

Symbolic regression in multicollinearity problems. - Flor A. Castillo; Carlos M. Villa (GECCO, 2005)

Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications. - Arthur K. Kordon; Guido Smits; Elsa M. Jordaan; Alex N. Kalos; Flor A. Castillo; Leo H. Chiang (IEEE Congress on Evolutionary Computation, 2006)

Pareto front genetic programming parameter selection based on design of experiments and industrial data. - Flor A. Castillo; Arthur K. Kordon; Guido Smits; Ben Christenson; Dee Dickerson (GECCO, 2006)

Evaluating and ranking patents with multiple criteria: How many criteria are required to find the most promising patents? - Nikolaos Ploskas; Tong Zhang; Nikolaos V. Sahinidis; Flor A. Castillo; Krishnan Sankaranarayanan (Comput. Chem. Eng., 2019)