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Zwaginga, J.J. (author), Lagemann, Benjamin (author), Erikstad, Stein Ove (author), Pruyn, J.F.J. (author)
Shipowners need to prepare for low-emission fuel alternatives to meet the IMO 2050 goals. This is a complex problem due to conflicting objectives and a high degree of uncertainty. To help navigate this problem, this paper investigates how methods that take uncertainty into account, like robust optimization and stochastic optimization, could be...
journal article 2024
document
Wiebenga, J.H. (author), Van den Boorgaard, A.H. (author), Klaseboer, G. (author)
The coupling of finite element simulations to mathematical optimization techniques has contributed significantly to product improvements and cost reductions in the metal forming industries. The next challenge is to bridge the gap between deterministic optimization techniques and the industrial need for robustness. This paper introduces a...
journal article 2012
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Fenicia, F. (author)
This thesis describes an approach to model development based on the concept of iterative model improvement, which is a process where by trial and error different hypotheses of catchment behaviour are progressively tested, and the understanding of the system proceeds through a combined process of modelling and experimenting. We show a number of...
doctoral thesis 2008
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Gurav, S.P. (author)
doctoral thesis 2005
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