Genetic Programming Bibliography entries for Guido F Smits
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GP coauthors/coeditors:
Flor A Castillo,
Arthur K Kordon,
Ben Christenson,
Dee Dickerson,
Elsa Jordaan,
Leo Chiang,
Jaap den Doelder,
Hoang Pham,
Clive Bosnyak,
Mark Kotanchek,
Ed Rightor,
Alex N Kalos,
Lawrence Chew,
Torben Bruck,
Keith Haney,
Annika Jenings,
R Pell,
M B Seasholtz,
P Margl,
Peter Kip Mercure,
Ekaterina (Katya) Vladislavleva,
Dick den Hertog,
Genetic Programming Articles by Guido F Smits
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Ekaterina Vladislavleva and Guido Smits and Dick den Hertog.
On the Importance of Data Balancing for Symbolic Regression.
IEEE Transactions on Evolutionary Computation, 14(2):252-277, 2010.
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Ekaterina J. Vladislavleva and Guido F. Smits and Dick den Hertog.
Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming.
IEEE Transactions on Evolutionary Computation, 13(2):333-349, 2009.
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Genetic Programming conference papers by Guido F Smits
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G. Smits and E. Vladislavleva.
Ordinal Pareto Genetic Programming. In
Gary G. Yen and Simon M. Lucas and Gary Fogel and Graham Kendall and Ralf Salomon and Byoung-Tak Zhang and Carlos A. Coello Coello and Thomas Philip Runarsson editors,
Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 3114-3120, Vancouver, BC, Canada, 2006. IEEE Press.
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Elsa Jordaan and Jaap den Doelder and Guido Smits.
Novel Approach to Develop Rheological Structure-Property Relationships Using Genetic Programming. In
Thomas Philip Runarsson and Hans-Georg Beyer and Edmund Burke and Juan J. Merelo-Guervos and L. Darrell Whitley and Xin Yao editors,
Parallel Problem Solving from Nature - PPSN IX, volume 4193, pages 322-331, Reykjavik, Iceland, 2006. Springer-Verlag.
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Flor Castillo and Arthur Kordon and Guido Smits and Ben Christenson and Dee Dickerson.
Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data. In
Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors,
GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 2, pages 1613-1620, Seattle, Washington, USA, 2006. ACM Press.
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Arthur Kordon and Elsa Jordaan and Lawrence Chew and Guido Smits and Torben Bruck and Keith Haney and Annika Jenings.
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming. In
Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors,
Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 1078-1089, Seattle, WA, USA, 2004. Springer-Verlag.
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Elsa Jordaan and Arthur Kordon and Leo Chiang and Guido Smits.
Robust Inferential Sensors based on Ensemble of Predictors generated by Genetic Programming. In
Xin Yao and Edmund Burke and Jose A. Lozano and Jim Smith and Juan J. Merelo-Guerv\'os and John A. Bullinaria and Jonathan Rowe and Peter Ti\vno Ata Kab\'an and Hans-Paul Schwefel editors,
Parallel Problem Solving from Nature - PPSN VIII, volume 3242, pages 522-531, Birmingham, UK, 2004. Springer-Verlag.
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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.
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Arthur Kordon and Guido Smits and Elsa Jordaan and Ed Rightor.
Robust Soft Sensors Based On Integration of Genetic Programming, Analytical Neural Networks, and Support Vector Machines. In
David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors,
Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 896-901, 2002. IEEE Press.
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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.
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Peter Kip Mercure and Guido F. Smits and Arthur Kordon.
Empirical Emulators for First Principle Models. In
AIChE Fall Annual Meeting, Reno Hilton, 2001.
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Arthur K. Kordon and Guido F. Smits.
Soft Sensor Development Using Genetic Programming. In
Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors,
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 1346-1351, San Francisco, California, USA, 2001. Morgan Kaufmann.
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Genetic Programming book chapters by Guido F Smits
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Flor Castillo and Arthur Kordon and Guido Smits.
Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data. 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 149-166. Springer, Ann Arbor, 2006.
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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.
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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.
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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.
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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.
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Arthur K. Kordon and Guido F. Smits and Alex N. Kalos and Elsa M. Jordaan.
Robust soft sensor development using genetic programming. In
Riccardo Leardi editor,
Nature-insprired Methods in Chemometrics: Genetic Algorithms and Artificial Neural Networks, volume 23 of Data Handling in Science and Technology, chapter 3, pages 69-108. Elsevier, 2003.
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