K. Giannakoglou

K. Giannakoglou, V. Asouti, K. Tsiakas, 2021, 14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control.

Gradient-based Pareto front approximation applied to turbomachinery shape optimization

K. Giannakoglou, V. Asouti, M. Meyer, 2019, Engineering with Computers.

Reducing memory requirements of unsteady adjoint by synergistically using check‐pointing and compression

K. Giannakoglou, E. Papoutsis‐Kiachagias, A. Margetis, 2022, International Journal for Numerical Methods in Fluids.

k -DNNs and their implementation in conjugate heat transfer shape optimization

K. Giannakoglou, D. Kapsoulis, X. Trompoukis, 2021 .

Multi-point aerodynamic shape optimization of cars based on continuous adjoint

K. Giannakoglou, E. Papoutsis‐Kiachagias, V. Asouti, 2018, Structural and Multidisciplinary Optimization.

Continuous Adjoint Methods for Turbulent Flows, Applied to Shape and Topology Optimization: Industrial Applications

K. Giannakoglou, E. Papoutsis‐Kiachagias, 2014, Archives of Computational Methods in Engineering.

Computation of Rotational Transonic Flows Using a Decomposition Method

K. Giannakoglou, P. Chaviaropoulos, K. Papailiou, 1988 .

Optimization of a static mixing device using the continuous adjoint to a two-phase mixing model

Pavlos P. Alexias, K. Giannakoglou, 2019, Optimization and Engineering.

EVOLUTIONARY AERODYNAMIC SHAPE OPTIMIZATION THROUGH THE RBF4AERO PLATFORM

S. Porziani, Corrado Groth, Marco Evangelos Biancolini, 2016 .

An asynchronous metamodel-assisted memetic algorithm for CFD-based shape optimization

Kyriakos C. Giannakoglou, Varvara G. Asouti, K. Giannakoglou, 2012 .

On the use of metamodel-assisted, multi-objective evolutionary algorithms

Marios K. Karakasis, Kyriakos C. Giannakoglou, K. Giannakoglou, 2006 .

ON THE USE OF SURROGATE EVALUATION MODELS IN MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS

Marios K. Karakasis, Kyriakos C. Giannakoglou, K. Giannakoglou, 2004 .

Aerodynamic optimization using a parallel asynchronous evolutionary algorithm controlled by strongly interacting demes

Kyriakos C. Giannakoglou, Varvara G. Asouti, K. Giannakoglou, 2009 .

Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels

Michael T. M. Emmerich, Kyriakos C. Giannakoglou, Boris Naujoks, 2006, IEEE Transactions on Evolutionary Computation.

A PCA-assisted hybrid algorithm combining EAs and adjoint methods for CFD-based optimization

Kyriakos C. Giannakoglou, Konstantinos Tsiakas, Dimitrios Kapsoulis, 2018, Appl. Soft Comput..

Evolutionary multi-objective optimization assisted by metamodels, kernel PCA and multi-criteria decision making techniques with applications in aerodynamics

Kyriakos C. Giannakoglou, Konstantinos Tsiakas, Dimitrios Kapsoulis, 2018, Appl. Soft Comput..

Design of a matrix hydraulic turbine using a metamodel-assisted evolutionary algorithm with PCA-driven evolution operators

Kyriakos C. Giannakoglou, Stylianos A. Kyriacou, Simon Weissenberger, 2012, Int. J. Math. Model. Numer. Optimisation.

A Continuous Adjoint Framework for Shape and Topology Optimization and their Synergistic Use

Kyriakos C. Giannakoglou, E. M. Papoutsis-Kiachagias, James Koch, 2018 .

TRANSITION FROM 2D CONTINUOUS ADJOINT LEVEL SET TOPOLOGY TO SHAPE OPTIMIZATION

K. Giannakoglou, E. Papoutsis‐Kiachagias, J.R.L. Koch, 2016 .

CONSTRAINED TOPOLOGY OPTIMIZATION FOR LAMINAR AND TURBULENT FLOWS , INCLUDING HEAT TRANSFER

D. I. Papadimitriou, A. S. Zymaris, E. M. Papoutsis-Kiachagias, 2011 .

The continuous adjoint cut-cell method for shape optimization in cavitating flows

P.Y. Vrionis, K.D. Samouchos, K.C. Giannakoglou, 2021 .

The continuous adjoint method for the design of hydraulic turbomachines

Kyriakos C. Giannakoglou, Stylianos A. Kyriacou, E. M. Papoutsis-Kiachagias, 2014 .

Contributions to the Resolution of the Data Workshop Test Cases

Stéphane Lanteri, Kyriakos C. Giannakoglou, K. D. Papailiou, 1998 .

Partitioning of unstructured grid meshes using Boltzmann machine neural networks

Kyriakos C. Giannakoglou, Andreas Stafylopatis, J. Theodoridis, 2000 .

Solution of flow problems using unstructured grids on distributed memory platforms

Kyriakos C. Giannakoglou, D. G. Koubogiannis, Dimitrios V. Rovas, 1998 .

An unstructured grid partitioning method based on genetic algorithms

Alexios P. Giotis, Kyriakos C. Giannakoglou, A. Giotis, 1998 .

Unsteady continuous adjoint to URANS coupled with FW-H analogy for aeroacoustic shape optimization

K. Giannakoglou, K. Tsiakas, X. Trompoukis, 2021, Computers & Fluids.

pFOSM: An efficient algorithm for aerodynamic robust design based on continuous adjoint and matrix-vector products

Kyriakos C. Giannakoglou, K. B. Fragkos, E. M. Papoutsis-Kiachagias, 2019, Computers & Fluids.

Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence

Kyriakos C. Giannakoglou, K. Giannakoglou, 2002 .

Multilevel Optimization Algorithms Based on Metamodel- and Fitness Inheritance-Assisted Evolutionary Algorithms

Kyriakos C. Giannakoglou, Ioannis C. Kampolis, K. Giannakoglou, 2010 .

Evolutionary optimization using a new radial basis function network and the adjoint formulation

Kyriakos C. Giannakoglou, Ioannis C. Kampolis, Dimitrios I. Papadimitriou, 2006 .

Low-cost genetic optimization based on inexact pre-evaluations and the sensitivity analysis of design parameters

Marios K. Karakasis, Alexios P. Giotis, Kyriakos C. Giannakoglou, 2001 .

Adjoint-assisted Pareto front tracing in aerodynamic and conjugate heat transfer shape optimization

Kyriakos C. Giannakoglou, E. M. Papoutsis-Kiachagias, K. T. Gkaragkounis, 2021 .

The unsteady continuous adjoint method for minimizing flow-induced sound radiation

Kyriakos C. Giannakoglou, Michael Hartmann, Evangelos M. Papoutsis-Kiachagias, 2019, J. Comput. Phys..

Noise reduction in car aerodynamics using a surrogate objective function and the continuous adjoint method with wall functions

Kyriakos C. Giannakoglou, Carsten Othmer, E. M. Papoutsis-Kiachagias, 2015 .

On the proper treatment of grid sensitivities in continuous adjoint methods for shape optimization

Kyriakos C. Giannakoglou, I. S. Kavvadias, Evangelos M. Papoutsis-Kiachagias, 2015, J. Comput. Phys..

The continuous adjoint approach to the k–ε turbulence model for shape optimization and optimal active control of turbulent flows

Kyriakos C. Giannakoglou, I. S. Kavvadias, D. I. Papadimitriou, 2015 .

Optimal Flow Control and Topology Optimization Using the Continuous Adjoint Method in Unsteady Flows

Kyriakos C. Giannakoglou, I. S. Kavvadias, D. I. Papadimitriou, 2015 .

Aerodynamic Shape Optimization Using “Turbulent” Adjoint And Robust Design in Fluid Mechanics

Kyriakos C. Giannakoglou, I. S. Kavvadias, D. I. Papadimitriou, 2015 .

SHAPE OPTIMIZATION USING THE ONE-SHOT ADJOINT TECHNIQUE ON GRAPHICS PROCESSING UNITS

V. G. Asouti, X. S. Trompoukis, K. C. Giannakoglou, 2011 .

Adjoint wall functions: A new concept for use in aerodynamic shape optimization

Kyriakos C. Giannakoglou, C. Othmer, D. I. Papadimitriou, 2010, J. Comput. Phys..

CFD-based analysis and two-level aerodynamic optimization on Graphics Processing Units

Kyriakos C. Giannakoglou, Ioannis C. Kampolis, Varvara G. Asouti, 2010 .

A Continuous Adjoint Method for the Minimization of Losses in Cascade Viscous Flows

Kyriakos C. Giannakoglou, K. Giannakoglou, D. I. Papadimitriou, 2006 .

Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems

Kyriakos C. Giannakoglou, Ioannis C. Kampolis, V. G. Asouti, 2007, 2007 IEEE Congress on Evolutionary Computation.

Employing the Time-Domain Unsteady Discrete Adjoint Method for Shape Optimization of Three-Dimensional Multirow Turbomachinery Configurations

Marcus Meyer, Kyriakos C. Giannakoglou, Georgios Ntanakas, 2018, Journal of Turbomachinery.

A Design Method For Turbine Blades Using Genetic Algorithms On Parallel Computers

Kyriakos C. Giannakoglou, K. Giannakoglou, 1998 .

Unstructured 3-D Grid Partitioning Methods Based On Genetic Algorithms

Alexios P. Giotis, Kyriakos C. Giannakoglou, A. Giotis, 1998 .

A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization

Kyriakos C. Giannakoglou, Ioannis C. Kampolis, V. G. Asouti, 2009, Genetic Programming and Evolvable Machines.

Distributed evolutionary algorithms with hierarchical evaluation

Kyriakos C. Giannakoglou, Ioannis C. Kampolis, K. Giannakoglou, 2009 .

Definition of the Problems for the Analysis

Stéphane Lanteri, Gabriel Bugeda, Bertrand Mantel, 1998 .

Acceleration of a Navier-Stokes equation solver for unstructured grids using agglomeration multigrid and parallel processing

Kyriakos C. Giannakoglou, D. G. Koubogiannis, K. Giannakoglou, 2004 .

AGGLOMERATION MULTIGRID AND PARALLEL PROCESSING FOR THE NUMERICAL SOLUTION OF THE EULER EQUATIONS ON 2D AND 3D UNSTRUCTURED GRIDS

Kyriakos C. Giannakoglou, D. G. Koubogiannis, N. K. Lambropoulos, 2002 .

Lossy compression techniques supporting unsteady adjoint on 2D/3D unstructured grids

K. Giannakoglou, E. Papoutsis‐Kiachagias, A. Margetis, 2021, Computer Methods in Applied Mechanics and Engineering.

A SEGREGATED IMPLICIT SOLUTION ALGORITHM FOR 2D AND 3D LAMINAR INCOMPRESSIBLE FLOWS

Kyriakos C. Giannakoglou, K. Giannakoglou, E. Politis, 1995 .

Combining an OpenFOAM $$^{\textregistered }$$ -Based Adjoint Solver with RBF Morphing for Shape Optimization Problems on the RBF4AERO Platform

S. Porziani, Corrado Groth, Kyriakos C. Giannakoglou, 2019, OpenFOAM®.

Aerodynamic Optimization of Car Shapes Using the Continuous Adjoint Method and an RBF Morpher

S. Porziani, Corrado Groth, Marco Evangelos Biancolini, 2018, Computational Methods in Applied Sciences.

CFD-based shape optimization under uncertainties using the Adjoint-assisted Polynomial Chaos Expansion and projected derivatives

K. Giannakoglou, E. Papoutsis‐Kiachagias, T. Skamagkis, 2022, Computers & Fluids.

Development and assessment of an intrusive polynomial chaos expansion‐based continuous adjoint method for shape optimization under uncertainties

K. Giannakoglou, A. Papageorgiou, E. Papoutsis‐Kiachagias, 2021, International Journal for Numerical Methods in Fluids.

ON THE DEVELOPMENT OF THE 3D EULER EQUATIONS USING INTRUSIVE PCE FOR UNCERTAINTY QUANTIFICATION

Kyriakos C. Giannakoglou, Varvara G. Asouti, Kyriakos Dimitrios Kantarakias, 2017 .

Tandem Adjoint Level Set Topology and Shape Optimization for 2 D and 3 D Internal Flows

K. Giannakoglou, E. Papoutsis‐Kiachagias, J.R.L. Koch, 2017 .

Total pressure loss minimization in turbomachinery cascades using a new continuous adjoint formulation

D. I. Papadimitriou, K. C. Giannakoglou, K. Giannakoglou, 2007 .

Transition and heat transfer predictions in a turbine cascade at various free‐stream turbulence intensities through a one‐equation turbulence model

Kyriakos C. Giannakoglou, D. G. Koubogiannis, G. I. Tsourakis, 2002 .

ROBUST DESIGN OF COMPRESSOR CASCADE AIRFOILS , USING EVOLUTIONARY ALGORITHMS AND SURROGATE MODELS

K. Giannakoglou, E. Kontoleontos, D. Koubogiannis, 2005 .

Multiobjective Metamodel–Assisted Memetic Algorithms

Kyriakos C. Giannakoglou, Chariklia A. Georgopoulou, K. Giannakoglou, 2009 .

One- and two-equation turbulence models for the prediction of complex cascade flows using unstructured grids

A. N. Athanasiadis, K. Giannakoglou, D. Koubogiannis, 2003 .

A coupled two-phase shear layer/liquid film calculation method. Formulation of the physical problem and solution algorithm

Kyriakos C. Giannakoglou, K. D. Papailiou, K. Giannakoglou, 1994 .

Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

K. Giannakoglou, N. Gauger, G. Winter, 2016, Computational Methods in Applied Sciences.

Efficient PCA-driven EAs and metamodel-assisted EAs, with applications in turbomachinery

Kyriakos C. Giannakoglou, Stylianos A. Kyriacou, Varvara G. Asouti, 2014 .

A two-step radial basis function-based CFD mesh displacement tool

Kyriakos C. Giannakoglou, Flavio Gagliardi, K. Giannakoglou, 2019, Adv. Eng. Softw..

Unsteady CFD computations using vertex‐centered finite volumes for unstructured grids on Graphics Processing Units

Kyriakos C. Giannakoglou, Ioannis C. Kampolis, Varvara G. Asouti, 2011 .

Acceleration of genetic algorithms using artificial neural networks: Theoretical background

Kyriakos C. Giannakoglou, K. Giannakoglou, 2000 .

MULTI-OBJECTIVE DESIGN OF OPTIMAL SCULPTURED SURFACE ROUGH MACHINING THROUGH PARETO AND NASH TECHNIQUES

Kyriakos C. Giannakoglou, Agathocles A. Krimpenis, Panagiotis I. K. Liakopoulos, 2005 .

RBF-based morphing of B-Rep models for use in aerodynamic shape optimization

Kyriakos C. Giannakoglou, Flavio Gagliardi, K. Giannakoglou, 2019, Adv. Eng. Softw..

Metamodel-assisted evolutionary algorithms for the unit commitment problem with probabilistic outages

Kyriakos C. Giannakoglou, Chariklia A. Georgopoulou, K. Giannakoglou, 2010 .

A PRESSURE CORRECTION SCHEME USING COUPLED MOMENTUM EQUATIONS

K. Giannakoglou, E. Politis, M. Peric, 1997 .

A low-cost evolutionary algorithm for the unit commitment problem considering probabilistic unit outages

Kyriakos C. Giannakoglou, V. G. Asouti, K. Giannakoglou, 2012, Int. J. Syst. Sci..

Inexact information aided, low‐cost, distributed genetic algorithms for aerodynamic shape optimization

Marios K. Karakasis, Alexios P. Giotis, Kyriakos C. Giannakoglou, 2003 .

Grid enabled, hierarchical distributed metamodel-assisted evolutionary algorithms for aerodynamic shape optimization

Kyriakos C. Giannakoglou, P. I. K. Liakopoulos, Ioannis C. Kampolis, 2008, Future Gener. Comput. Syst..

Analysis of Transonic Turbomachinery Flows Using a 2-D Explicit Low-Reynolds k-ε Navier-Stokes Solver

Kyriakos C. Giannakoglou, K. D. Papailiou, C. Vassilopoulos, 1994 .

Radial Basis Function Surrogates for Uncertainty Quantification and Aerodynamic Shape Optimization under Uncertainties

K. Giannakoglou, V. Asouti, M. Kontou, 2023, Fluids.

A Two–Step Mesh Adaptation Tool Based on RBF with Application to Turbomachinery Optimization Loops

Kyriakos C. Giannakoglou, Flavio Gagliardi, Konstantinos T. Tsiakas, 2018, Computational Methods in Applied Sciences.

Aerodynamic Shape Optimization Methods on Multiprocessor Platforms

Marios K. Karakasis, Kyriakos C. Giannakoglou, Ioannis C. Kampolis, 2009 .

EVOLUTIONARY ALGORITHMS WITH SURROGATE MODELING FOR COMPUTATIONALLY EXPENSIVE OPTIMIZATION PROBLEMS

Marios K. Karakasis, Kyriakos C. Giannakoglou, Ioannis C. Kampolis, 2006 .

A painless intrusive polynomial chaos method with RANS-based applications

Kyriakos C. Giannakoglou, M. Chatzimanolakis, K.-D. Kantarakias, 2019, Computer Methods in Applied Mechanics and Engineering.

ADJOINTOPTIMISATIONFOAM: AN OPENFOAM-BASED FRAMEWORK FOR ADJOINT-ASSISTED OPTIMISATION

K. Giannakoglou, K. Gkaragkounis, E. Papoutsis‐Kiachagias, 2021, 14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control.

DNN surrogates for turbulence closure in CFD-based shape optimization

K. Giannakoglou, V. Asouti, M. Kontou, 2023, Appl. Soft Comput..

DESIGNING TUFtBOMACHINERY BLADES USING EVOLUTIONARY METHODS

K. Giannakoglou, 2012 .

STOCHASTIC AND DETERMINISTIC OPTIMIZATION FOR TURBOMACHINERY APPLICATIONS BASED ON THE ADJOINT FORMULATION

K. Giannakoglou, D. Papadimitriou, I. Kampolis, 2005 .

Arbitrary Blade Section Design Based on Viscous Considerations. Background Information

Kyriakos C. Giannakoglou, K. D. Papailiou, G. Leoutsakos, 1996 .

CONTINUOUS ADJOINT METHOD WITH LOW – MACH NUMBER PRECONDITIONING

K. Giannakoglou, D. Papadimitriou, V. Asouti, 2007 .

Gradient-based Pareto front approximation applied to turbomachinery shape optimization

Kyriakos C. Giannakoglou, Varvara G. Asouti, Ilias Vasilopoulos, 2019, Engineering with Computers.