Varvara G. Asouti

According to our database, Varvara G. Asouti authored at least 9 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

DNN surrogates for turbulence closure in CFD-based shape optimization.

Marina Kontou, V. G. Asouti, Kyriakos C. Giannakoglou

Appl. Soft Comput., February, 2023

DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics.

Konstantina G. Kovani, Marina G. Kontou, Varvara G. Asouti, Kyriakos C. Giannakoglou

Proceedings of the Engineering Applications of Neural Networks, 2023

2021

Gradient-based Pareto front approximation applied to turbomachinery shape optimization.

Ilias Vasilopoulos, Varvara Asouti, Kyriakos C. Giannakoglou, Marcus Meyer

Eng. Comput., 2021

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

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

2016

The use of Kernel PCA in evolutionary optimization for computationally demanding engineering applications.

Dimitrios Kapsoulis, Konstantinos Tsiakas, Varvara Asouti, Kyriakos C. Giannakoglou

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

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

2009

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

2007

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2007