Reliability-based design optimization using adaptive Kriging-A single-loop strategy and a double-loop one
YZ Ma, XX **, XL Wu, C Xu, HS Li, ZZ Zhao - Reliability Engineering & …, 2023 - Elsevier
With the development of the surrogate-assisted Reliability-Based Design Optimization
(RBDO) methods in recent decade, efficiency has been continuously improved by various …
(RBDO) methods in recent decade, efficiency has been continuously improved by various …
Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization
This paper proposes an efficient reliability-based design optimization (RBDO) method that
advantageously decouples comprehensive learning particle swarm optimization (CLPSO) …
advantageously decouples comprehensive learning particle swarm optimization (CLPSO) …
Local Latin hypercube refinement for multi-objective design uncertainty optimization
Optimizing the reliability and the robustness of a design is important but often unaffordable
due to high sample requirements. Surrogate models based on statistical and machine …
due to high sample requirements. Surrogate models based on statistical and machine …
Surrogate-assisted optimization under uncertainty for design for remanufacturing considering material price volatility
M Tabassum, K De Brabanter, GE Kremer - Sustainable Materials and …, 2024 - Elsevier
Remanufacturing is a well-established end-of-life (EOL) strategy that promises significant
savings in energy and carbon emissions. However, the current design practices are not …
savings in energy and carbon emissions. However, the current design practices are not …
A novel decoupled approach combining invertible cross-entropy method with Gaussian process modeling for reliability-based design and topology optimization
Abstract Design optimization considering the presence of uncertainties in parameters poses
an extremely challenging problem. The source of difficulties comes with reliability-based …
an extremely challenging problem. The source of difficulties comes with reliability-based …
ERGO: a new robust design optimization technique combining multi-objective bayesian optimization with analytical uncertainty quantification
J Wauters - Journal of Mechanical Design, 2022 - asmedigitalcollection.asme.org
In this work, robust design optimization (RDO) is treated, motivated by the increasing desire
to account for variability in the design phase. The problem is formulated in a multi-objective …
to account for variability in the design phase. The problem is formulated in a multi-objective …
SAMURAI: A new asynchronous bayesian optimization technique for optimization-under-uncertainty
In this work, optimization-under-uncertainty (OUU) is treated by simultaneously minimizing
the mean of the objective and its variance due to variability of design variables and/or …
the mean of the objective and its variance due to variability of design variables and/or …
Active learning Kriging-based multi-objective modeling and optimization for system reliability-based robust design
Y Shi, C Lin, Y Ma, J Shen - Reliability Engineering & System Safety, 2024 - Elsevier
Reliability-based robust design optimization (RBRDO) has been widely studied to ensure
the necessary robustness and reliability throughout the product life cycle. However, most of …
the necessary robustness and reliability throughout the product life cycle. However, most of …
Generalized Karagiannidis–Lioumpas Approximations and Bounds to the Gaussian Q-Function With Optimized Coefficients
IM Tanash, T Riihonen - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
We develop extremely tight novel approximations, lower bounds and upper bounds for the
Gaussian-function and offer multiple alternatives for the coefficient sets thereof, which are …
Gaussian-function and offer multiple alternatives for the coefficient sets thereof, which are …
Design optimization-under-uncertainty of a forward swept wing unmanned aerial vehicle using SAMURAI
J Wauters - International Journal of Micro Air Vehicles, 2022 - journals.sagepub.com
In this paper the design optimization-under-uncertainty of a forward swept wing (FSW)
blended wing body (BWB) unmanned aerial vehicle (UAV) is examined. Conventional BWBs …
blended wing body (BWB) unmanned aerial vehicle (UAV) is examined. Conventional BWBs …