Počet záznamů: 1  

Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks

  1. 1.
    Bajer, L. - Holeňa, Martin
    Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks.
    Intelligent Data Engineering and Automated Learning - IDEAL 2010. Berlin: Springer-Verlag, 2010 - (Fyfe, C.; Tino, P.; Garcia-Osorio, C.; Yin, H.), s. 251-258. Lecture Notes in Computer Science, 6283. ISBN 978-3-642-15380-8. ISSN 0302-9743.
    [IDEAL 2010. International Conference on Intelligent Data Engineering and Automated Learning /11./. Paisley (GB), 01.09.2010-03.09.2010]
    http://hdl.handle.net/11104/0188472

    Citováno: 7

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    --- BARTZ-BEIELSTEIN, T. - ZAEFFERER, M. Model-based methods for continuous and discrete global optimization. APPLIED SOFT COMPUTING. ISSN 1568-4946, JUN 2017, vol. 55, p. 154-167. [WOS]
    --- ALLMENDINGER, R. - EMMERICH, M.T.M. - HAKANEN, J. - JIN, Y.C. - RIGONI, E. Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case. JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS. ISSN 1057-9214, JAN-APR 2017, vol. 24, no. 1-2, p. 5-24. [WOS]
    --- WANG, H.D. - JIN, Y.C. - JANSEN, J.O. Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. ISSN 1089-778X, DEC 2016, vol. 20, no. 6, p. 939-952. [WOS]
    --- BROWNLEE, A.E.I. - WRIGHT, J.A. Constrained, mixed-integer and multi-objective optimisation of building designs by NSGA-II with fitness approximation. APPLIED SOFT COMPUTING. ISSN 1568-4946, AUG 2015, vol. 33, p. 114-126. [WOS]
    --- SUN, C.L. - DING, J.L. - ZENG, J.C. - JIN, Y.C. A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems. MEMETIC COMPUTING. ISSN 1865-9284, JUN 2018, vol. 10, no. 2, SI, p. 123-134. [WOS]
Počet záznamů: 1  

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