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Different multidisciplinary design optimization (MDO) problems are formulated and compared.
A centralized model and a decentralized model are first formulated and compared.
An example problem is formulated and compared to results from finite element analysis.
Prediction models based on NN and SUR are formulated and compared with respect to accounting for the a priori information on the dominant species.
Moreover, considering the potential spatial correlation among segments, the adjacent-correlated spatial and distance-correlated spatial models were formulated and compared to the traditional non-spatial-correlated model.
Its sensitivity to the noise that is associated with the acceleration measurement is formulated and compared with that of a conventional state-space velocity observer (SSVO).
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Second, by minimizing the obtained SER upper bound, we formulate and compare three schemes to optimize the relay placement and power allocation.
Two uncertainty back-propagation models are formulated and critically compared.
Therefore, a modified design of heat exchange surfaces of the oxyfuel steam boiler was formulated and was compared to a conventional air-fired boiler.
We derived a greedy heuristic called FastWISE to solve the large realistic size instances of the formulated problem and compared our results with the results of a non-commercial optimization tool and numerous MC experiments.
In the first part of the paper, the integrated lumped parameter-Computational Fluid Dynamics approach has been formulated, validated and compared with different constant efficiency models, showing better performance and a wider range of applicability.
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