Sökning: "Black-Box Optimization"

Visar resultat 6 - 10 av 29 uppsatser innehållade orden Black-Box Optimization.

  1. 6. A GP-Surrogate-Based Bayesian Framework for Surge Barrier Optimization

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Abel Valko; [2022]
    Nyckelord :Bayesian Optimization; Gaussian Process Regression; Storm Surge; GeoClaw; GISSR;

    Sammanfattning : Tropical cyclone induced storm surges are some of the largest environmental risks facing infrastructure and human life in dense urban environments. Hurricane Sandy caused 44 deaths and damage of 19 billion US dollars in New York City alone. LÄS MER

  3. 7. Path Choice Estimation in Urban Rails : Asimulation based optimisation for frequency-based assignment model

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alexander Adolfsson; [2022]
    Nyckelord :Black-Box Optimisation; Optimization; Simulation based optimisation; Transit Network; Automaton; Urban Transport; Public transportation; Black-Box optimering; Optimering; Simuleringsbaserad Optimering; Transportsystem; Automation; Local Transport; Kollektivtrafik;

    Sammanfattning : 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. LÄS MER

  4. 8. Explainable Reinforcement Learning for Remote Electrical Tilt Optimization

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Artin Mirzaian; [2022]
    Nyckelord :Reinforcement Learning; Explainability; Explainable Reinforcement Learning; Machine Learning; Artificial Intelligence; Remote Electrical tilt optimization.; Förstärkningsinlärning; Förklarbarhet; Förklarbar Förstärkningsinlärning; Maskininlärning; Artificiell Intelligens; Optimering av Fjärrlutning.;

    Sammanfattning : Controlling antennas’ vertical tilt through Remote Electrical Tilt (RET) is an effective method to optimize network performance. Reinforcement Learning (RL) algorithms such as Deep Reinforcement Learning (DRL) have been shown to be successful for RET optimization. LÄS MER

  5. 9. Building and Training a Fully Connected Deep Neural Network From Scratch

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Axel Berglund; [2022]
    Nyckelord :Deep Neural Network; Machine Learning; Gradient Decent; MNIST.;

    Sammanfattning : Artificial Neural Networks make up the core of mostMachine Learning algorithms. In the past decade Machine learninghave successfully taken on fields such as image recognition,Data analytics and medical technologies. LÄS MER

  7. 10. Black Box Optimization Framework for Reinsurance of Large Claims

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Sina Mozayyan; [2022]
    Nyckelord :augmented Lagrangian; constraint optimization by linear interpolation; derivative-free black box optimization; DIRECT L ; evolutionary optimization; NLopt package; mean-variance premium principle; risk management; Solvency II;

    Sammanfattning : A framework for optimization of reinsurance strategy is proposed for an insurance company with several lines of business (LoB), maximizing the Economic Value of purchasing reinsurance. The economic value is defined as the sum of the average ceded loss, the deducted risk premium, and the reduction in the cost of capital. LÄS MER