Searched for: subject:"robust%5C%2Boptimization"
(1 - 9 of 9)
document
Hamarat, C. (author), Pruyt, E. (author), Loonen, E.T. (author)
Adaptivity is essential for dynamically complex and uncertain systems. Adaptive policymaking is an approach to design policies that can be adapted over time to how the future unfolds. It is crucial for adaptive policymaking to specify under what conditions and how to adapt the policy. The performance of adaptive policy is critically depended on...
conference paper 2013
document
Van der Gun, J.P.T. (author), Pel, A.J. (author), Van Arem, B. (author)
There are many kinds of disasters that can severely impact the transportation system of an urbanized region. Transportation authorities therefore need to develop management strategies to adequately deal with such emergencies. In this paper, we discuss the structure of a simulation model that can be used to assess a candidate strategy. We model...
conference paper 2014
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Hamarat, C. (author), Kwakkel, J.H. (author), Pruyt, E. (author)
The recent flu pandemic in 2009 caused a panic about the possible consequences due to deep uncertainty about an unknown virus. Overstock of vaccines or unnecessary social measures to be taken were all due to uncertainty. However, what should be the necessary actions to take in such deeply uncertain situation where there is no or very little...
conference paper 2012
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Fonseca, R.M. (author), Stordahl, A. (author), Leeuwenburgh, O. (author), Van den Hof, P.M.J. (author), Jansen, J.D. (author)
We consider robust ensemble-based multi-objective optimization using a hierarchical switching algorithm for combined long-term and short term water flooding optimization. We apply a modified formulation of the ensemble gradient which results in improved performance compared to earlier formulations. We also apply multi-dimensional scaling to...
conference paper 2014
document
Chaerani, D. (author)
This thesis deals with optimization problems with uncertain data. Uncertainty here means that the data is not known exactly at the time when its solution has to be determined. In many models the uncertainty is ignored and a representative nominal value of the data is used. The uncertainty may be due to measurement or modelling errors or simply...
doctoral thesis 2006
document
Eling, R.P.T. (author)
In the competitive automotive market, the performance of turbochargers is constantly being pushed towards their theoretical optimum. One of the key components of the turbocharger is the rotor-bearing system, which determines the friction losses and noise output and furthermore affects the overall turbocharger efficiency, reliability and cost. In...
doctoral thesis 2018
document
Goncalves Dias De Barros, E. (author)
Over the past decades, many technological advances have unlocked new opportunities to boost efficiency in the oil and gas industry (e.g., complex well drilling, injection of advanced chemicals, sophisticated instrumentation). The real engineering challenge is to apply these technologies in the best possible way for each particular case. This...
doctoral thesis 2018
document
ur Rehman, S. (author), Langelaar, M. (author)
A novel technique for efficient global robust optimization of problems affected by parametric uncertainties is proposed. The method is especially relevant to problems that are based on expensive computer simulations. The globally robust optimal design is obtained by searching for the best worst-case cost, which involves a nested min-max...
journal article 2015
document
Morales-España, G. (author), Davidson, M. (author), Ramírez-Elizondo, L. (author), De Weerdt, M.M. (author)
This document is an online companion for the paper "Robust Unit Commitment with Dispatchable Wind: An LP Reformulation of the Second-stage".
report 2015
Searched for: subject:"robust%5C%2Boptimization"
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