Genetic Programming Bibliography entries for Arthur K Kordon

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8051

GP coauthors/coeditors: Plamen Angelov, Xiaowei Zhou, Flor A Castillo, Kenric A Marshall, James L Green, James Green, Jeff Sweeney, Wayne Zirk, Guido F Smits, Ben Christenson, Dee Dickerson, Carlos Villa, Anna Esparcia-Alcazar, Ying-ping Chen, Gabriela Ochoa, Ender Ozcan, Marc Schoenauer, Anne Auger, Hans-Georg Beyer, Nikolaus Hansen, Steffen Finck, Raymond Ros, L Darrell Whitley, Garnett Carl Wilson, Simon Harding, William B Langdon, Man Leung Wong, Laurence D Merkle, Frank William Moore, Sevan G Ficici, William Michael Rand, Rick L Riolo, Nawwaf Kharma, William R Buckley, Julian F Miller, Kenneth O Stanley, Jaume Bacardit, Will N Browne, Jan Drugowitsch, Nicola Beume, Mike Preuss, Stephen L Smith, Stefano Cagnoni, Jim DeLeo, Alexandru Floares, Aaron Baughman, Steven M Gustafson, Maarten Keijzer, Clare Bates Congdon, Elsa Jordaan, Leo Chiang, Hoang Pham, Clive Bosnyak, Mark Kotanchek, Ed Rightor, Alex N Kalos, Ching-Tai Lue, Lawrence Chew, Torben Bruck, Keith Haney, Annika Jenings, Theresa Kotanchek, R Pell, M B Seasholtz, P Margl, Peter Kip Mercure, William P Worzel, Ekaterina (Katya) Vladislavleva, Sean Stijven,

Genetic Programming Articles by Arthur K Kordon

Genetic Programming Books by Arthur K Kordon

Genetic Programming Conference proceedings edited by Arthur K Kordon

Genetic Programming conference papers by Arthur K Kordon

  1. Arthur Kordon and Theresa Kotanchek and Mark Kotanchek. How Competitive Is Genetic Programming in Business Data Science Applications?. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 145-163, East Lansing, MI, USA, 2019. Springer. details

  2. 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, pages 241-260, Ann Arbor, USA, 2015. Springer. details

  3. Arthur Kordon. Applying Intelligent Systems in Industry: A Realistic Overview. In 6th IEEE International Conference on Intelligent Systems (IS 2012), pages 6-20, Sofia, 2012. details

  4. Arthur Kordon. Marketing computational intelligence in industry. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  5. Plamen Angelov and Arthur Kordon and Xiaowei Zhou. Evolving fuzzy inferential sensors for process industry. In 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS 2008, pages 41-46, Witten-Boommerholz, Germany, 2008. details

  6. Arthur K. Kordon. Future Trends in Soft Computing Industrial Applications. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 7854-7861, Vancouver, 2006. IEEE Press. details

  7. 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. details

  8. 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. details

  9. Arthur Kordon and Ching-Tai Lue. Symbolic Regression Modeling of Blown Film Process Effects. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 561-568, Portland, Oregon, 2004. IEEE Press. details

  10. 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. details

  11. Flor Castillo and Kenric Marshall and James Green and Arthur Kordon. A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1975-1985, Chicago, 2003. Springer-Verlag. details

  12. 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

  13. 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. details

  14. 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

  15. Flor A. Castillo and Ken A. Marshall and James L. Green and Arthur K. Kordon. Symbolic Regression In Design Of Experiments: A Case Study With Linearizing Transformations. In W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1043-1047, New York, 2002. Morgan Kaufmann Publishers. details

  16. Peter Kip Mercure and Guido F. Smits and Arthur Kordon. Empirical Emulators for First Principle Models. In AIChE Fall Annual Meeting, Reno Hilton, 2001. details

  17. 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. details

Genetic Programming book chapters by Arthur K Kordon

  1. Arthur Kordon. Practical Issues in Human and Artificial Intelligence Interaction. In Bistra Vassileva and Moti Zwilling editors, Responsible AI and Ethical Issues for Businesses and Governments, chapter 3, pages 35-53. IGI Global, 2021. details

  2. Arthur K. Kordon. Applying Genetic Programming in Business Forecasting. In Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI, chapter 6, pages 101-117. Springer, Ann Arbor, USA, 2013. details

  3. Flor A. Castillo and Carlos M. Villa and Arthur K. Kordon. Symbolic Regression Model Comparison Approach Using Transmitted Variation. In Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X, chapter 10, pages 139-154. Springer, Ann Arbor, USA, 2012. details

  4. Flor Castillo and Arthur Kordon and Carlos Villa. Genetic Programming Transforms in Linear Regression Situations. In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 11, pages 175-194. Springer, Ann Arbor, USA, 2010. details

  5. Arthur Kordon. Evolutionary Computation in the Chemical Industry. In Tina Yu and David Davis and Cem Baydar and Rajkumar Roy editors, Evolutionary Computation in Practice, volume 88 of Studies in Computational Intelligence, chapter 11, pages 245-262. Springer, 2008. details

  6. 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. details

  7. 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

  8. 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

  9. Flor Castillo and Arthur Kordon and Jeff Sweeney and Wayne Zirk. Using Genetic Programming in Industrial Statistical Model Building. In Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice II, chapter 3, pages 31-48. Springer, Ann Arbor, 2004. details

  10. 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

  11. 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. details