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This thesis is motivated from the fundamental decision problem in today's manufacturing industry which could be summarized as one simple question: how is it possible to achieve economic growth by taking advantage of the latest technologies while protecting ...
This paper discusses the idea of using a single Pareto-compliant surrogate model for multiobjective optimization. While most surrogate approaches to multi-objective optimization build a surrogate model for each objective, the recently proposed mono surroga ...
If an analog-to-digital converter (ADC) is used within a ΣΔ converter such that the loop filter is mixed signal, then the ADC does not need to have the full resolution of the ΣΔ converter, and its input values will not be uniformly distributed over the inp ...
The ageing of existing structures and new innovative designs are increasing the necessity for a greater understanding of structural behaviour. A better understanding would improve effectiveness of activities such as assessing reserve capacity, evaluating l ...
Despite many advantages that could be gained through belonging to enterprise networks, only a few networks continue running businesses after the governments stop their funding. One of the reasons is the lack of a model that evaluates the benefits from the ...
Many decision problems exhibit structural properties in the sense that the objective function is a composition of different component functions that can be identified using empirical data. We consider the approximation of such objective functions, subject ...
We introduce a new primal-dual reconstruction algorithm for fluorescence and bioluminescence tomography. As often in optical tomography, image reconstruction is performed by optimizing a multi-term convex cost function. Current reconstruction methods emplo ...
Even though rail transportation is one of the most fuel efficient forms of surface transportation, fueling costs are the single highest operating cost head for railroad companies. For larger companies with several thousands of miles of rail network, the fu ...
Error-Correcting Output Codes (ECOC) with subclasses reveal a common way to solve multi-class classification problems. According to this approach, a multiclass problem is decomposed into several binary ones based on the maximization of the mutual informati ...
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective Optimization Algorithm (EMOA) in lieu of the actual objectives, without modify ...
