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Handling Undefined Vectors in Expensive Optimization Problems.

, , и . EvoApplications (1), том 6024 из Lecture Notes in Computer Science, стр. 582-591. Springer, (2010)

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Alexander Tenne

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An algorithm for computationally expensive engineering optimization problems.. Int. J. General Systems, 42 (5): 458-488 (2013)Machine-learning in optimization of expensive black-box functions.. Int. J. Appl. Math. Comput. Sci., 27 (1): 105 (2017)A Model-Assisted Memetic Algorithm for Expensive Optimization Problems.. Nature-Inspired Algorithms for Optimisation, том 193 из Studies in Computational Intelligence, Springer, (2009)Handling Undefined Vectors in Expensive Optimization Problems., , и . EvoApplications (1), том 6024 из Lecture Notes in Computer Science, стр. 582-591. Springer, (2010)A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions., и . Evolutionary Computation in Dynamic and Uncertain Environments, том 51 из Studies in Computational Intelligence, Springer, (2007)A hybrid model-classifier framework for managing prediction uncertainty in expensive optimisation problems., , и . Int. J. Systems Science, 43 (7): 1305-1321 (2012)Dimensionality-reduction frameworks for computationally expensive problems., , и . IEEE Congress on Evolutionary Computation, стр. 1-8. IEEE, (2010)An Optimization Algorithm Employing Multiple Metamodels and Optimizers.. Int. J. Autom. Comput., 10 (3): 227-241 (2013)Memetic Algorithms in the Presence of Uncertainties.. Handbook of Memetic Algorithms, том 379 из Studies in Computational Intelligence, Springer, (2012)A Classifier-Assisted Framework for Expensive Optimization Problems: A Knowledge-Mining Approach., , и . LION, том 6683 из Lecture Notes in Computer Science, стр. 161-175. Springer, (2011)