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Robust optimization–a comprehensive survey
This paper reviews the state-of-the-art in robust design optimization–the search for designs
and solutions which are immune with respect to production tolerances, parameter drifts …
and solutions which are immune with respect to production tolerances, parameter drifts …
Paradigm shift in urban energy systems through distributed generation: Methods and models
M Manfren, P Caputo, G Costa - Applied energy, 2011 - Elsevier
The path towards energy sustainability is commonly referred to the incremental adoption of
available technologies, practices and policies that may help to decrease the environmental …
available technologies, practices and policies that may help to decrease the environmental …
Computational methods in optimization considering uncertainties–an overview
GI Schuëller, HA Jensen - Computer Methods in Applied Mechanics and …, 2008 - Elsevier
This article presents a brief survey on some of the most relevant developments in the field of
optimization under uncertainty. In particular, the scope and the relevance of the papers …
optimization under uncertainty. In particular, the scope and the relevance of the papers …
[HTML][HTML] Persistence in complex systems
Persistence is an important characteristic of many complex systems in nature, related to how
long the system remains at a certain state before changing to a different one. The study of …
long the system remains at a certain state before changing to a different one. The study of …
Toward a product system modularity construct: Literature review and reconceptualization
F Salvador - IEEE Transactions on engineering management, 2007 - ieeexplore.ieee.org
Product modularity has been discussed in engineering and management literature for over
forty years. During this time span, definitions and views on the meaning of product …
forty years. During this time span, definitions and views on the meaning of product …
Level set based robust shape and topology optimization under random field uncertainties
A robust shape and topology optimization (RSTO) approach with consideration of random
field uncertainty in loading and material properties is developed in this work. The proposed …
field uncertainty in loading and material properties is developed in this work. The proposed …
Robust optimization over time: a critical review
Robust optimization over time (ROOT) is the combination of robust optimization and dynamic
optimization. In ROOT, frequent changes to deployed solutions are undesirable, which can …
optimization. In ROOT, frequent changes to deployed solutions are undesirable, which can …
Dimension reduction method for reliability-based robust design optimization
In reliability-based robust design optimization (RBRDO) formulation, the product quality loss
function is minimized subject to probabilistic constraints. Since the quality loss function is …
function is minimized subject to probabilistic constraints. Since the quality loss function is …
A new level-set based approach to shape and topology optimization under geometric uncertainty
Geometric uncertainty refers to the deviation of the geometric boundary from its ideal
position, which may have a non-trivial impact on design performance. Since geometric …
position, which may have a non-trivial impact on design performance. Since geometric …
Understanding the effects of model uncertainty in robust design with computer experiments
The use of computer experiments and surrogate approximations (metamodels) introduces a
source of uncertainty in simulation-based design that we term model interpolation …
source of uncertainty in simulation-based design that we term model interpolation …