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Automatic Approximation of Expensive Functions with Active Learning., , , and . Foundations of Computational Intelligence (1), volume 201 of Studies in Computational Intelligence, Springer, (2009)Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility., , , , , , , , , and . IEEE Trans. Wireless Communications, 15 (10): 6662-6675 (2016)Efficient global optimization of multi-parameter network problems on wireless testbeds., , , , , , , and . Ad Hoc Networks, (2015)Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design., , , and . CEC, page 1634-1641. IEEE, (2016)Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Classification aided domain reduction for high dimensional optimization., , , , and . Winter Simulation Conference, page 3928-3939. IEEE/ACM, (2014)Multiobjective global surrogate modeling, dealing with the 5-percent problem., , , and . Eng. Comput. (Lond.), 26 (1): 81-98 (2010)ooDACE toolbox: a flexible object-oriented Kriging implementation., , and . J. Mach. Learn. Res., 15 (1): 3183-3186 (2014)Adaptive classification under computational budget constraints using sequential data gathering., , , and . Advances in Engineering Software, (2016)Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models., , , , and . J. Optimization Theory and Applications, 175 (1): 172-193 (2017)