Industrial evolutionary computing

Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, Companion Material

Volumn , Issue , 2007, Pages 3297-3322

  Kordon, Arthur Karl ^a   Smits, Guido F ^a   Kotanchek, Mark E ^b  

^a DOW CHEMICAL COMPANY   (United States)

^b Evolved Analytics ^*

Author keywords

Evolutionary compuation; Industrial applications

Indexed keywords

EID: 34548092926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1274000.1274115     Document Type: Conference Paper

References (20)

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2. A. Kordon. G. Smits. A. Kalos, and E. Jordaan, Robust Soft Sensor Development Using Genetic Programming, NatureInspired Methods in Chemometrics, (R. Leardi-Editor). Elsevier. 2003.
3. Kordon A.K. G.F. Smits. E. Jordaan and E. Rightor. Robust Soft Sensors Based on Integration of Genetic Programming, Analytical Neural Networks, and Support Vector Machines. Proceedings of WCCI 2002. Honolulu, pp. 896-901. 2002.
4. Kotanchek M., A. Kordon, G. Smits. F. Castillo. R. Pell. M.B. Seasholtz, L. Chiang. P. Margl. P.K. Mercure. A. Kalos. Evolutionary Computwtg in Dow Chemical, Proceedings of GECCO2002. New York, volume Evolutionary Computation in industry. pp. 101-110., 2002
5. Kordon A. K, H.T. Pham. C.P. Bosnyak. M.E. Kotanchek. and G. F. Smits. Accelerating Industrial Fundamental Model Buidng with Symbolic Regression: A Case Study with Structure- Property Relationships, Proceedings of GECCC 2002. New York, volume Evolutionary Computation in industry, pp. 111-116. 2002
6. Castillo F., K. Marshall. J. Greens, and A. Kordon. Symbolic Regression in Design of Experiments: A Case Study with Linearizing Transformations, Proceedings of GECCO'2002. New York. pp. 1043-1048.
7. Kordon A., E. Jordaan. L Chew, G. Smits, T. Bruck. K. Haney, and A. Jenings. Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming, Proceedings of GECCO 2004. Seattle. WA. pp. 1078-1089. 2004
8. Smits G. and M. Kotanchek. Parefo-Front Explotation in Symbolic Regression, in GP Theory and Practice (R. Riolo and B. Worzel-Eds). Kluwer. 2004.
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11. Jordaan, E., A. Kordon, G. Smits, and L Chiang, Robust Inferential Sensors based on Ensemble of predictors generated by Genetic Programming, Proceedings of PPSN 2004. Birmingham.UK.pp. 522-531.2004
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13. F. Castillo. A. Kordon. J. Sweeney, and W. Zirk, Using Genetic Programming in Industrial Statistical Model Building. in: O'Raily U., Yu T., Riolo, R. and Worzel, B. (eds): Genetic Programming Theory and Practice II. Springer. NY. New York. pp. 31 - 48. 2004.
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15. G. Smits. A. Kordon. E. Jordaan . C. Vladislavleva. and M. Kotanchek. Variable Selection in Industrial Data Sets Using Pareto Genetic Programming. h: Yu T., Riolo, R. and Worzel B. (eds): Genetic Programming Theory and Practice III. Sprnger, NY. New York. pp. 79-92. 2006.
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18. G. Smits. and K Vladslavleva. Ordinal Parefo Genetic Programming. Proceedings of CEC 2006, Vancouver, pp. 10471-10477. 2006.
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20. M. Kotanchek, G. Smits. and K. Vladislavleva. Pursuing the Pareto paradiram: Tournaments, Ak/orihm variations and Ordnal Optmimization, In: Riolo. R. and Worzel. B. (eds): Genetic Programming Theory and Practice IV, Springer. NY. New York, pp. 167-186. 2007.