Sökning: "Optimization problems"
Visar resultat 21 - 25 av 730 avhandlingar innehållade orden Optimization problems.
21. Model-based optimization for individualized deep brain stimulation
Sammanfattning : Deep Brain Stimulation (DBS) is an established therapy that is predominantly utilized in treating the symptoms of neurodegenerative diseases such as Parkinson's Disease and Essential Tremor, crippling diseases like Chronic Pain and Epilepsy, and psychiatric diseases such as Schizophrenia and Depression. Due to its invasive nature, DBS is considered as a last resort therapy. LÄS MER
22. Gradient-based optimization of non-linear structures and materials
Sammanfattning : Gradient-based optimization is a potent tool in many design processes today. It is particularly useful in industries where weight considerations are crucial, such as aerospace, but can also be exploited in for example civil engineering applications to reduce the material use and thereby the environmental impact. LÄS MER
23. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization
Sammanfattning : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. LÄS MER
24. Supply chain optimization in the forest industry
Sammanfattning : The scope of this thesis is modelling and solving large-scale planning problems in the supply chain within the forest industry. Five research papers are included, the first three of which focus on the modelling, and the last two on the solution methods. LÄS MER
25. Decision Making under Uncertainty in Financial Markets : Improving Decisions with Stochastic Optimization
Sammanfattning : This thesis addresses the topic of decision making under uncertainty, with particular focus on financial markets. The aim of this research is to support improved decisions in practice, and related to this, to advance our understanding of financial markets. LÄS MER