Multidisciplinary robust design optimization considering parameter and metamodeling uncertainties
Multidisciplinary robust design optimization (MRDO) is a useful tool to improve the stability of
the performance of complex engineering systems involving uncertainty. However, the …
the performance of complex engineering systems involving uncertainty. However, the …
Contributions to multidisciplinary design optimization under uncertainty, application to launch vehicle design.
L Brevault - 2015 - hal.science
Launch vehicle design is a Multidisciplinary Design Optimization problem whose objective is
to find the launch vehicle architecture providing the optimal performance while ensuring the …
to find the launch vehicle architecture providing the optimal performance while ensuring the …
Multi-objective collaborative optimization using linear physical programming with dynamic weight
H Li, M Ma, W Zhang - Journal of Mechanical Science and Technology, 2016 - Springer
The multi-objective collaborative optimization problem with multi-objective subsystems has a
bi-level optimization architecture, that consists of the system and subsystem levels …
bi-level optimization architecture, that consists of the system and subsystem levels …
Optimización de ecuaciones con restricciones no lineales: comparativo entre técnicas heurística y convexa
F Mesa, GC Vélez, JJB Ortega - Revista UIS ingenierías, 2022 - dialnet.unirioja.es
En el presente artículo se exploran diversas técnicas de optimización a través de
metodologías diferentes; es importante resaltar que los problemas de optimización se …
metodologías diferentes; es importante resaltar que los problemas de optimización se …
Methodology for Probabilistic Analysis of Distributed Multidisciplinary Architecture
Uncertainty based multidisciplinary analysis (UMDA) is a methodology to quantify
uncertainty on the system-level quantity of interest by propagating uncertainty within and …
uncertainty on the system-level quantity of interest by propagating uncertainty within and …
A robust multi-objective and multi-physics optimization of multi-physics behavior of microstructure
H Chagraoui, M Soula, M Guedri - Journal of Central South University, 2016 - Springer
A new strategy is presented to solve robust multi-physics multi-objective optimization
problem known as improved multi-objective collaborative optimization (IMOCO) and its …
problem known as improved multi-objective collaborative optimization (IMOCO) and its …
Collaborative optimization of NURBS curve cross-section in a telescopic boom
A Ji, C Chen, L Peng, P Lv, X He - Journal of Mechanical Science and …, 2017 - Springer
To improve the carrying capacity and reduce the weight of telescopic boom structure in a
truck crane, a Collaborative optimization (CO) approach was applied to solve the problems …
truck crane, a Collaborative optimization (CO) approach was applied to solve the problems …
A sequential approach for robust multidisciplinary design optimization under mixed interval and probabilistic uncertainties
T **a, M Li - ASCE-ASME Journal of Risk and …, 2019 - asmedigitalcollection.asme.org
Uncertainties cannot be ignored in the design process of complex multidisciplinary systems.
Robust multidisciplinary design optimization methods (RMDOs) can treat uncertainties as …
Robust multidisciplinary design optimization methods (RMDOs) can treat uncertainties as …
Decoupled UMDO formulation for interdisciplinary coupling satisfaction under uncertainty
At early design phases, taking into account uncertainty in the optimization of a
multidisciplinary system is essential to establish its optimal characteristics and …
multidisciplinary system is essential to establish its optimal characteristics and …
Uncertainty-Based Multidisciplinary Design Optimization (UMDO)
This chapter is devoted to the description of the MDO formulations in the presence of
uncertainty. In Chapter 1, deterministic MDO formulations have been introduced …
uncertainty. In Chapter 1, deterministic MDO formulations have been introduced …