Essays about: "Simuleringsbaserad optimering"
Showing result 1 - 5 of 7 essays containing the words Simuleringsbaserad optimering.
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1. Optimal process design with simulation-based optimization
University essay from KTH/Matematik (Avd.)Abstract : Nowadays, it has become crucial to transform company production processes in order to reduce carbon emissions. Therefore, the company LKAB is working to make the production process of iron ore pellets fossil-free. In particular, this thesis project focuses on the pellet induration stage and addresses the mathematical optimization of the process. READ MORE
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2. Path Choice Estimation in Urban Rails : Asimulation based optimisation for frequency-based assignment model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Transit system have a large importance in modern urban cities, with urban rail often acting as the central system with it efficient travel time and great capacity. As cities grow in population, so to does the usage of urban rail resulting in increased crowding on the platform and in the trains. READ MORE
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3. Validating Discrete Event Simulation as a tool for short-term scheduling in dynamic environment
University essay from KTH/Hållbar produktionsutveckling (ML)Abstract : In order for the companies to be competitive in today’s market, it is vital to adapt quickly to the market trends. The steady shift towards mass customization from mass production has been challenging many industries globally, which demands the use of digital tools and technologies in various areas to improve performance throughout the supply chain processes. READ MORE
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4. Distributed Bayesian Optimization in Multi-Agent Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A variety of engineering problems require extremely resource consuming system performance optimization with an inaccessible system model, some examples include tuning the hyper-parameters in a complex machine learning model, simulation-based aerodynamic design and power system optimization. Bayesian optimization is an approach to solve black-box optimization problems when sample efficiency is of high priority. READ MORE
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5. Simulation-Based Portfolio Optimization with Coherent Distortion Risk Measures
University essay from KTH/Matematisk statistikAbstract : This master's thesis studies portfolio optimization using linear programming algorithms. The contribution of this thesis is an extension of the convex framework for portfolio optimization with Conditional Value-at-Risk, introduced by Rockafeller and Uryasev. READ MORE