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Erratum to: Implementation of visual data mining for unsteady blood flow field in an aortic aneurysm.

, , , , and . J. Visualization, 14 (4): 399 (2011)

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Kriging-surrogate-based optimization considering expected hypervolume improvement in non-constrained many-objective test problems., , and . IEEE Congress on Evolutionary Computation, page 658-665. IEEE, (2013)Evolutionary algorithm with parallel evaluation strategy using constrained penalty-based boundary intersection., and . CEC, page 3702-3709. IEEE, (2016)Exploiting active subspaces in global optimization: how complex is your problem?, and . GECCO (Companion), page 1487-1494. ACM, (2017)Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization., and . EMO, volume 10173 of Lecture Notes in Computer Science, page 469-483. Springer, (2017)On the use of metaheuristics in hyperparameters optimization of gaussian processes., , and . GECCO (Companion), page 263-264. ACM, (2019)Comparison of the criteria for updating Kriging response surface models in multi-objective optimization., , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts., , , , and . Med. Biol. Engineering and Computing, 57 (1): 15-26 (2019)A new efficient and useful robust optimization approach - design for multi-objective six sigma., , and . Congress on Evolutionary Computation, page 950-957. IEEE, (2005)Effects of the number of design variables on performances in Kriging-model-based many-objective optimization., , and . CEC, page 1901-1908. IEEE, (2015)Erratum to: Implementation of visual data mining for unsteady blood flow field in an aortic aneurysm., , , , and . J. Visualization, 14 (4): 399 (2011)