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Variable Selection in Industrial Datasets using Pareto Genetic Programming

, , , , and . Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 6, Springer, Ann Arbor, (12-14 May 2005)

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Ordinal Pareto Genetic Programming., and . IEEE Congress on Evolutionary Computation, page 3114-3120. IEEE, (2006)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)Industrial evolutionary computing., , and . GECCO (Companion), page 3297-3322. ACM, (2007)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)Computational Intelligence in Industrial Applications., , and . Handbook of Computational Intelligence, Springer, (2015)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)On the Importance of Data Balancing for Symbolic Regression., , and . IEEE Trans. Evol. Comput., 14 (2): 252-277 (2010)Competitive advantages of evolutionary computation for industrial applications., , , , , and . Congress on Evolutionary Computation, page 166-173. IEEE, (2005)Novel Approach to Develop Structure-Property Relationships Using Genetic Programming, , and . Parallel Problem Solving from Nature - PPSN IX, volume 4193 of LNCS, page 322--331. Reykjavik, Iceland, Springer-Verlag, (9-13 September 2006)