SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems
This paper introduces a surrogate model based algorithm for computationally expensive
mixed-integer black-box global optimization problems with both binary and non-binary …
mixed-integer black-box global optimization problems with both binary and non-binary …
Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization …
J Müller, CA Shoemaker - Journal of Global Optimization, 2014 - Springer
This paper examines the influence of two major aspects on the solution quality of surrogate
model algorithms for computationally expensive black-box global optimization problems …
model algorithms for computationally expensive black-box global optimization problems …
Reduced-order aerothermoelastic framework for hypersonic vehicle control simulation
NJ Falkiewicz, CES Cesnik, AR Crowell, JJ McNamara - AIAA journal, 2011 - arc.aiaa.org
DESIGN and simulation of hypersonic vehicle (HSV) control systems requires consideration
of a variety of disciplines due to the highly coupled nature of the flight regime [1–4]. To …
of a variety of disciplines due to the highly coupled nature of the flight regime [1–4]. To …
[HTML][HTML] Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation
Generalisability and the consistency of the a posteriori results are the most critical points of
view regarding data-driven turbulence models. This study presents a progressive …
view regarding data-driven turbulence models. This study presents a progressive …
Approximate modeling of unsteady aerodynamics for hypersonic aeroelasticity
HISTORICALLY, the development of airbreathing hypersonic vehicles has encountered
difficulties due in part to the inability to survive the extreme temperatures associated with …
difficulties due in part to the inability to survive the extreme temperatures associated with …
Mixture surrogate models based on Dempster-Shafer theory for global optimization problems
Recent research in algorithms for solving global optimization problems using response
surface methodology has shown that it is in general not possible to use one surrogate model …
surface methodology has shown that it is in general not possible to use one surrogate model …
Decoupling parameter estimation strategy based electrochemical-thermal coupled modeling method for large format lithium-ion batteries with internal temperature …
QK Wang, JN Shen, ZF Ma, YJ He - Chemical Engineering Journal, 2021 - Elsevier
Accurate battery model generally plays a significant role in the optimal design and
management of lithium-ion batteries (LIBs). However, performing fast and accurate …
management of lithium-ion batteries (LIBs). However, performing fast and accurate …
Global aerostructural design optimization of more flexible wings for commercial aircraft
TF Wunderlich, S Dähne, L Reimer, A Schuster - Journal of Aircraft, 2021 - arc.aiaa.org
In the German Aerospace Center's Virtual Aircraft Technology Integration Platform project, a
process for aerostructural wing optimization based on high-fidelity simulation methods is …
process for aerostructural wing optimization based on high-fidelity simulation methods is …
[HTML][HTML] Validating the design optimisation of ultrasonic flow meters using computational fluid dynamics and surrogate modelling
Domestic ultrasonic flow meters with an intrusive two-stand configuration present a complex
flow behaviour due to their unique geometry, which offers an interesting case to evaluate …
flow behaviour due to their unique geometry, which offers an interesting case to evaluate …
SO-I: a surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications
This paper presents the surrogate model based algorithm SO-I for solving purely integer
optimization problems that have computationally expensive black-box objective functions …
optimization problems that have computationally expensive black-box objective functions …