Search for dissertations about: "Optimization under uncertainty"

Showing result 1 - 5 of 59 swedish dissertations containing the words Optimization under uncertainty.

2. 1. Simultaneous Topology and Material Optimization of Composite Structures under Uncertainty

   Author : Dženan Hozić; Carl-Johan Thore; François-Xavier Irisarri; Linköpings universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Structural Optimization; Composite Structures; Topology Optimization; Multi-material Optimization; Material Uncertainty; Robust Optimization; Composite Structure Optimization; Design Optimization; Composite Material;

   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

4. 2. Resource Allocation under Uncertainty : Applications in Mobile Communications

   Author : Mathias Johansson; Anders Ahlén; Mikael Sternad; Vikram Krishnamurthy; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; resource allocation; uncertainty; probability theory as logic; scheduling; multiuser diversity; Jaynes; maximum entropy; Bayesian probability theory; Signalbehandling; Signal processing; Signalbehandling; Signal Processing; signalbehandling;

   Abstract : This thesis is concerned with scheduling the use of resources, or allocating resources, so as to meet future demands for the entities produced by the resources. We consider applications in mobile communications such as scheduling users' transmissions so that the amount of transmitted information is maximized, and scenarios in the manufacturing industry where the task is to distribute work among production units so as to minimize the number of missed orders. READ MORE

5. 3. Decision Making under Uncertainty in Financial Markets : Improving Decisions with Stochastic Optimization

   Author : Jonas Ekblom; Jörgen Blomvall; Michal Kaut; Linköpings universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Stochastic programming; Approximate dynamic programming; Financial optimization; Portfolio optimization; Corporate hedging; Scenario generation; Importance sampling;

   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

6. 4. Toward Robust Optimization of Adaptive Radiation Therapy

   Author : Michelle Böck; Anders Forsgren; Minsun Kim; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; optimization; adaptive radiation therapy; radiation therapy treatment planning; uncertainty; robust optimization; stochastic programming; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

   Abstract : Adaptive radiation therapy is an evolving cancer treatment approach which relies on adapting the treatment plan in response to patient-specific interfractional geometric variations occurring during the fractionated treatment. If those variations are not addressed through adaptive replanning, the resulting treatment quality may be compromised. READ MORE

7. 5. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization

   Author : Florian Siegmund; Kalyanmoy Deb; Amos H.C. Ng; Sanaz Mostaghim; Högskolan i Skövde; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Evolutionary multi-objective optimization; simulation-based optimization; guided search; preference-based optimization; reference point; decision support; noise; stochastic systems; dynamic resampling; budget allocation; sequential sampling; hybrid; ranking and selection; Natural sciences; Naturvetenskap; Technology; Teknik; Production and Automation Engineering; Produktion och automatiseringsteknik;

   Abstract : 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. READ MORE