Kyriakos C. Giannakoglou
Orcid: 0000-0002-3619-7947Affiliations:
- National Technical University of Athens, Greece
According to our database1,
Kyriakos C. Giannakoglou
authored at least 22 papers
between 2002 and 2023.
Collaborative distances:
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Bibliography
2023
Appl. Soft Comput., February, 2023
Proceedings of the Engineering Applications of Neural Networks, 2023
2022
Neural Comput. Appl., 2022
2021
Gradient-based Pareto front approximation applied to turbomachinery shape optimization.
Eng. Comput., 2021
Topology optimization in fluid mechanics using continuous adjoint and the cut-cell method.
Comput. Math. Appl., 2021
2020
λ-DNNs and Their Implementation in Aerodynamic and Conjugate Heat Transfer Optimization.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020
2019
J. Comput. Phys., 2019
Adv. Eng. Softw., 2019
Adv. Eng. Softw., 2019
2018
A PCA-assisted hybrid algorithm combining EAs and adjoint methods for CFD-based optimization.
Appl. Soft Comput., 2018
Evolutionary multi-objective optimization assisted by metamodels, kernel PCA and multi-criteria decision making techniques with applications in aerodynamics.
Appl. Soft Comput., 2018
2016
The use of Kernel PCA in evolutionary optimization for computationally demanding engineering applications.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
2015
On the proper treatment of grid sensitivities in continuous adjoint methods for shape optimization.
J. Comput. Phys., 2015
2012
A low-cost evolutionary algorithm for the unit commitment problem considering probabilistic unit outages.
Int. J. Syst. Sci., 2012
Design of a matrix hydraulic turbine using a metamodel-assisted evolutionary algorithm with PCA-driven evolution operators.
Int. J. Math. Model. Numer. Optimisation, 2012
2011
Synergetic use of different evaluation, parameterization and search tools within a multilevel optimization platform.
Appl. Soft Comput., 2011
2010
J. Comput. Phys., 2010
2009
A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization.
Genet. Program. Evolvable Mach., 2009
2008
Grid enabled, hierarchical distributed metamodel-assisted evolutionary algorithms for aerodynamic shape optimization.
Future Gener. Comput. Syst., 2008
2007
Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels.
IEEE Trans. Evol. Comput., 2006
2002
Proceedings of the Parallel Problem Solving from Nature, 2002