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Evolutionary Computing in Dow Chemical

, , , , , , , , , and . GECCO-2002 Presentations in the Evolutionary Computation in Industry Track, page 101--110. New York, New York, (11-13 July 2002)

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Pareto-Front Exploitation in Symbolic Regression, and . Genetic Programming Theory and Practice II, chapter 17, Springer, Ann Arbor, (13-15 May 2004)Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications., , , , , and . IEEE Congress on Evolutionary Computation, page 3106-3113. IEEE, (2006)Ordinal Pareto Genetic Programming., and . IEEE Congress on Evolutionary Computation, page 3114-3120. IEEE, (2006)Computational Intelligence in Industrial Applications., , and . Handbook of Computational Intelligence, Springer, (2015)Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming., , , , , , and . GECCO (2), volume 3103 of Lecture Notes in Computer Science, page 1078-1089. Springer, (2004)On the Importance of Data Balancing for Symbolic Regression., , and . IEEE Trans. Evol. Comput., 14 (2): 252-277 (2010)Industrial evolutionary computing., , and . GECCO (Companion), page 3297-3322. ACM, (2007)Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data, , and . Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, chapter 2, Springer, Ann Arbor, (11-13 May 2006)Competitive advantages of evolutionary computation for industrial applications., , , , , and . Congress on Evolutionary Computation, page 166-173. IEEE, (2005)Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming., , , and . PPSN, volume 3242 of Lecture Notes in Computer Science, page 522-531. Springer, (2004)