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Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results.

, , , and . EMO, volume 10173 of Lecture Notes in Computer Science, page 160-175. Springer, (2017)

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What Makes a Problem Hard for a Classifier System?, , and . IlliGAL Report No 92007. Department of General Engineering, 117 Transportation Building, 104 South Mathews Avenue, Urbana, IL 61801-2996, (1992)An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks., and . Evolutionary Computation in Dynamic and Uncertain Environments, volume 51 of Studies in Computational Intelligence, Springer, (2007)Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator., , , , , , , and . CoRR, (2018)Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization., and . Soft Comput., 20 (6): 2367-2382 (2016)Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey., , and . Expert Syst. Appl., (2017)Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results., , , and . EMO, volume 10173 of Lecture Notes in Computer Science, page 160-175. Springer, (2017)An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering., , , , and . Appl. Soft Comput., (2014)Metamodeling for multimodal selection functions in evolutionary multi-objective optimization., , and . GECCO, page 625-632. ACM, (2017)Evolutionary practical optimization.. GECCO (Companion), page 3093-3132. ACM, (2007)Evaluating Evolutionary Multi-objective Optimization Algorithms using Running Performance Metrics., and . SEAL, volume 2 of Advances in Natural Computation, page 307-326. World Scientific, (2002)