Genetic Programming Bibliography entries for Rebecca Goebel

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GP coauthors/coeditors: Tobias Glaser, Ilka Niederkleine, Mirko Skiborowski,

Genetic Programming Articles by Rebecca Goebel

• Rebecca Goebel and Mirko Skiborowski. Machine-based learning of predictive models in organic solvent nanofiltration: Pure and mixed solvent flux. Separation and Purification Technology, 237:116363, 2020. details

Genetic Programming PhD doctoral thesis Rebecca Goebel

• Rebecca Goebel. Towards reliable characterization and model-based evaluation of organic solvent nanofiltration. PhD thesis, TU Dortmund University, Dortmund, Germany, 2021. details

Genetic Programming book chapters by Rebecca Goebel

• Rebecca Goebel and Tobias Glaser and Ilka Niederkleine and Mirko Skiborowski. Towards predictive models for organic solvent nanofiltration. In Anton Friedl and Jiri J. Klemes and Stefan Radl and Petar S. Varbanov and Thomas Wallek editors, 28th European Symposium on Computer Aided Process Engineering, volume 43 of Computer Aided Chemical Engineering, pages 115-120. Elsevier, 2018. details