Search for dissertations about: "uncertain optimization"
Showing result 1 - 5 of 66 swedish dissertations containing the words uncertain optimization.
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1. Simultaneous Topology and Material Optimization of Composite Structures under Uncertainty
Abstract : Composite materials are known to have superior stiffness and strength properties per unit weight compared to metallic materials. These properties and the ability to tailor the mechanical properties of composites is the main motivation for choosing composite materials for structural components. READ MORE
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2. Robust optimization of radiation therapy accounting for geometric uncertainty
Abstract : Geometric errors may compromise the quality of radiation therapy treatments. Optimization methods that account for errors can reduce their effects.The first paper of this thesis introduces minimax optimization to account for systematic range and setup errors in intensity-modulated proton therapy. READ MORE
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3. Decision Making under Uncertainty in Financial Markets : Improving Decisions with Stochastic Optimization
Abstract : 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. READ MORE
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4. Combining simulation and optimization for improved decision support on energy efficiency in industry
Abstract : Industrial production systems in general are very complex and there is a need for decision support regarding management of the daily production as well as regarding investments to increase energy efficiency and to decrease environmental effects and overall costs. Simulation of industrial production as well as energy systems optimization may be used in such complex decision-making situations. READ MORE
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5. Simulation-based Optimization and Decision Making with Imperfect Information
Abstract : The purpose of this work is to provide simulation-based support for making optimal (or near-optimal) decisions in situations where decision makers are faced with imperfect information. We develop several novel techniques and algorithms for simulation-based optimization and decision support and apply them to two categories of problems: (i) Unmanned Aerial Vehicle (UAV) path planning in search operations, and; (ii) optimization of business process models. READ MORE