Metamodel-Assisted Evolution Strategies. - Michael Emmerich 001; Alexios Giotis; Mutlu Özdemir; Thomas Bäck; Kyriakos C. Giannakoglou (PPSN, 2002)

Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels. - Michael T. M. Emmerich; Kyriakos C. Giannakoglou; Boris Naujoks (IEEE Trans. Evol. Comput., 2006)

Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems. - Ioannis C. Kampolis; A. S. Zymaris; V. G. Asouti; Kyriakos C. Giannakoglou (IEEE Congress on Evolutionary Computation, 2007)

Grid enabled, hierarchical distributed metamodel-assisted evolutionary algorithms for aerodynamic shape optimization. - P. I. K. Liakopoulos; Ioannis C. Kampolis; Kyriakos C. Giannakoglou (Future Gener. Comput. Syst., 2008)

A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization. - V. G. Asouti; Ioannis C. Kampolis; Kyriakos C. Giannakoglou (Genet. Program. Evolvable Mach., 2009)

Adjoint wall functions: A new concept for use in aerodynamic shape optimization. - Alexandros S. Zymaris; Dimitrios I. Papadimitriou; Kyriakos C. Giannakoglou; Carsten Othmer (J. Comput. Phys., 2010)

Synergetic use of different evaluation, parameterization and search tools within a multilevel optimization platform. - Ioannis C. Kampolis; Kyriakos C. Giannakoglou (Appl. Soft Comput., 2011)

Design of a matrix hydraulic turbine using a metamodel-assisted evolutionary algorithm with PCA-driven evolution operators. - Stylianos A. Kyriacou; Simon Weissenberger; Kyriakos C. Giannakoglou (Int. J. Math. Model. Numer. Optimisation, 2012)

A low-cost evolutionary algorithm for the unit commitment problem considering probabilistic unit outages. - V. G. Asouti; Kyriakos C. Giannakoglou (Int. J. Syst. Sci., 2012)

On the proper treatment of grid sensitivities in continuous adjoint methods for shape optimization. - I. S. Kavvadias; Evangelos M. Papoutsis-Kiachagias; Kyriakos C. Giannakoglou (J. Comput. Phys., 2015)

The use of Kernel PCA in evolutionary optimization for computationally demanding engineering applications. - Dimitrios Kapsoulis; Konstantinos Tsiakas; Varvara Asouti; Kyriakos C. Giannakoglou (SSCI, 2016)

Evolutionary multi-objective optimization assisted by metamodels, kernel PCA and multi-criteria decision making techniques with applications in aerodynamics. - Dimitrios Kapsoulis; Konstantinos Tsiakas; Xenofon Trompoukis; Varvara Asouti; Kyriakos C. Giannakoglou (Appl. Soft Comput., 2018)

A PCA-assisted hybrid algorithm combining EAs and adjoint methods for CFD-based optimization. - Dimitrios Kapsoulis; Konstantinos Tsiakas; Xenofon Trompoukis; Varvara Asouti; Kyriakos C. Giannakoglou (Appl. Soft Comput., 2018)

A two-step radial basis function-based CFD mesh displacement tool. - Flavio Gagliardi; Kyriakos C. Giannakoglou (Adv. Eng. Softw., 2019)

RBF-based morphing of B-Rep models for use in aerodynamic shape optimization. - Flavio Gagliardi; Kyriakos C. Giannakoglou (Adv. Eng. Softw., 2019)

The unsteady continuous adjoint method for minimizing flow-induced sound radiation. - Christos S. Kapellos; Evangelos M. Papoutsis-Kiachagias; Kyriakos C. Giannakoglou; Michael Hartmann (J. Comput. Phys., 2019)

λ-DNNs and Their Implementation in Aerodynamic and Conjugate Heat Transfer Optimization. - Marina Kontou; Dimitrios Kapsoulis; Ioannis Baklagis; Kyriakos C. Giannakoglou (EANN, 2020)

Topology optimization in fluid mechanics using continuous adjoint and the cut-cell method. - Panayiotis Yiannis Vrionis; Konstantinos D. Samouchos; Kyriakos C. Giannakoglou (Comput. Math. Appl., 2021)

Gradient-based Pareto front approximation applied to turbomachinery shape optimization. - Ilias Vasilopoulos; Varvara Asouti; Kyriakos C. Giannakoglou; Marcus Meyer (Eng. Comput., 2021)

λ-DNNs and their implementation in conjugate heat transfer shape optimization. - Marina Kontou; Dimitrios Kapsoulis; Ioannis Baklagis; Xenofon Trompoukis; Kyriakos C. Giannakoglou (Neural Comput. Appl., 2022)

DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics. - Konstantina G. Kovani; Marina G. Kontou; Varvara G. Asouti; Kyriakos C. Giannakoglou (EANN, 2023)

DNN surrogates for turbulence closure in CFD-based shape optimization. - Marina Kontou; V. G. Asouti; Kyriakos C. Giannakoglou (Appl. Soft Comput., 2023)