Genetic Programming Bibliography entries for Mark Kotanchek

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GP coauthors/coeditors: Arthur K Kordon, Hoang Pham, Clive Bosnyak, Guido F Smits, Flor A Castillo, R Pell, M B Seasholtz, Leo Chiang, P Margl, Peter Kip Mercure, Alex N Kalos, Ekaterina (Katya) Vladislavleva, Rick L Riolo, Jason H Moore, William P Worzel, Elsa Jordaan, Sean Stijven, Ruben Van den Bossche, Kurt Vanmechelen, Jan Broeckhove,

Genetic Programming Conference proceedings edited by Mark Kotanchek

Genetic Programming conference papers by Mark Kotanchek

  1. Sean Stijven and Ekaterina Vladislavleva and Arthur Kordon and Mark Kotanchek. Prime-Time: Symbolic Regression Takes its Place in Industrial Analysis. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, Ann Arbor, USA, 2015. Springer. details

  2. Mark Kotanchek. Real-world data modeling. In Gabriela Ochoa editor, GECCO 2012 Specialized techniques and applications tutorials, pages 1349-1378, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  3. Mark Kotanchek and Arthur Kordon and Guido Smits and Flor Castillo and R. Pell and M. B. Seasholtz and L. Chiang and P. Margl and P. K. Mercure and A. Kalos. Evolutionary Computing in Dow Chemical. In Lawrence ``Dave'' Davis and Rajkumar Roy editors, GECCO-2002 Presentations in the Evolutionary Computation in Industry Track, pages 101-110, New York, New York, 2002. details

  4. Arthur Kordon and Hoang Pham and Clive Bosnyak and Mark Kotanchek and Guido Smits. Accelerating Industrial Fundamental Model Building with Symbolic Regression: A Case Study with Structure-Property Relationships. In Lawrence ``Dave'' Davis and Rajkumar Roy editors, GECCO-2002 Presentations in the Evolutionary Computation in Industry Track, pages 111-116, New York, New York, 2002. details

Genetic Programming book chapters by Mark Kotanchek

  1. Sean Stijven and Ruben Bossche and Ekaterina Vladislavleva and Kurt Vanmechelen and Jan Broeckhove and Mark Kotanchek. Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models. In Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI, chapter 3, pages 47-63. Springer, Ann Arbor, USA, 2013. details

  2. Mark E. Kotanchek and Ekaterina Vladislavleva and Guido Smits. Symbolic Regression Is Not Enough: It Takes a Village to Raise a Model. In Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X, chapter 13, pages 187-203. Springer, Ann Arbor, USA, 2012. details

  3. Guido F. Smits and Ekaterina Vladislavleva and Mark E. Kotanchek. Scalable Symbolic Regression by Continuous Evolution with Very Small Populations. In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 9, pages 147-160. Springer, Ann Arbor, USA, 2010. details

  4. Mark E. Kotanchek and Ekaterina Y. Vladislavleva and Guido F. Smits. Symbolic Regression via GP as a Discovery Engine: Insights on Outliers and Prototypes. In Rick L. Riolo and Una-May O'Reilly and Trent McConaghy editors, Genetic Programming Theory and Practice VII, chapter 4, pages 55-72. Springer, Ann Arbor, 2009. details

  5. Mark Kotanchek and Guido Smits and Ekaterina Vladislavleva. Exploiting Trustable Models via Pareto GP for Targeted Data Collection. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice VI, chapter 10, pages 145-163. Springer, Ann Arbor, 2008. details

  6. Ekaterina Vladislavleva and Guido Smits and Mark Kotanchek. Better Solutions Faster: Soft Evolution of Robust Regression Models In Pareto genetic programming. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice V, chapter 2, pages 13-32. Springer, Ann Arbor, 2007. details

  7. Mark Kotanchek and Guido Smits and Ekaterina Vladislavleva. Trustable symbolic regression models: using ensembles, interval arithmetic and Pareto fronts to develop robust and trust-aware models. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice V, chapter 12, pages 201-220. Springer, Ann Arbor, 2007. details

  8. Mark Kotanchek and Guido Smits and Ekaterina Vladislavleva. Pursuing the Pareto Paradigm Tournaments, Algorithm Variations \& Ordinal Optimization. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, pages 167-185. Springer, Ann Arbor, 2006. details

  9. Guido Smits and Arthur Kordon and Katherine Vladislavleva and Elsa Jordaan and Mark Kotanchek. Variable Selection in Industrial Datasets using Pareto Genetic Programming. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 6, pages 79-92. Springer, Ann Arbor, 2005. details

  10. Arthur Kordon and Flor Castillo and Guido Smits and Mark Kotanchek. Application Issues of Genetic Programming in Industry. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 16, pages 241-258. Springer, Ann Arbor, 2005. details

  11. Guido Smits and Mark Kotanchek. Pareto-Front Exploitation in Symbolic Regression. In Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice II, chapter 17, pages 283-299. Springer, Ann Arbor, 2004. details

  12. Mark Kotanchek and Guido Smits and Arthur Kordon. Industrial Strength Genetic Programming. In Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice, chapter 15, pages 239-255. Kluwer, 2003. details