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Varvara G. Asouti

V. G. Asouti – Varvara Asouti

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2020 – today

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2023
[j6]
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  - journals/asc/KontouAG23
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Marina Kontou, V. G. Asouti, Kyriakos C. Giannakoglou:
DNN surrogates for turbulence closure in CFD-based shape optimization. Appl. Soft Comput. 134: 110013 (2023)
[c3]
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Konstantina G. Kovani, Marina G. Kontou, Varvara G. Asouti, Kyriakos C. Giannakoglou:
DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics. EANN 2023: 379-390
2021
[j5]
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  - journals/ewc/VasilopoulosAGM21
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Ilias Vasilopoulos, Varvara Asouti, Kyriakos C. Giannakoglou, Marcus Meyer:
Gradient-based Pareto front approximation applied to turbomachinery shape optimization. Eng. Comput. 37(1): 449-459 (2021)

2010 – 2019

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2018
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Dimitrios Kapsoulis, Konstantinos Tsiakas, Xenofon Trompoukis, Varvara Asouti, Kyriakos C. Giannakoglou:
Evolutionary multi-objective optimization assisted by metamodels, kernel PCA and multi-criteria decision making techniques with applications in aerodynamics. Appl. Soft Comput. 64: 1-13 (2018)
[j3]
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Dimitrios Kapsoulis, Konstantinos Tsiakas, Xenofon Trompoukis, Varvara Asouti, Kyriakos C. Giannakoglou:
A PCA-assisted hybrid algorithm combining EAs and adjoint methods for CFD-based optimization. Appl. Soft Comput. 73: 520-529 (2018)
2016
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Dimitrios Kapsoulis, Konstantinos Tsiakas, Varvara Asouti, Kyriakos C. Giannakoglou:
The use of Kernel PCA in evolutionary optimization for computationally demanding engineering applications. SSCI 2016: 1-8
2012
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  - journals/ijsysc/AsoutiG12
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V. G. Asouti, Kyriakos C. Giannakoglou:
A low-cost evolutionary algorithm for the unit commitment problem considering probabilistic unit outages. Int. J. Syst. Sci. 43(7): 1322-1335 (2012)

2000 – 2009

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2009
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V. G. Asouti, Ioannis C. Kampolis, Kyriakos C. Giannakoglou:
A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization. Genet. Program. Evolvable Mach. 10(4): 373-389 (2009)
2007
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Ioannis C. Kampolis, A. S. Zymaris, V. G. Asouti, Kyriakos C. Giannakoglou:
Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems. IEEE Congress on Evolutionary Computation 2007: 4116-4123

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