Sökning: "Black-Box optimering"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Black-Box optimering.

  1. 1. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Giorgio Sacchi; [2023]
    Nyckelord :Explainable AI; Counterfactual Explanations CFEs ; Bayesian Optimization BO ; Black-Box Models; Model-Agnostic; Machine Learning ML ; Efficient Computation; High-Stake Decisions; Förklarbar AI; Kontrafaktuell Förklaring CFE ; Bayesiansk Optimering BO ; Svarta lådmodeller; Modellagnostisk; Maskininlärning; Beräkningsmässigt Effektiv; Beslut med höga insatser;

    Sammanfattning : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. LÄS MER

  3. 2. Tracking Optimization in Agrivoltaic Systems : A Comparative Study for Apple Orchards

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Maddalena Bruno; [2023]
    Nyckelord :Agrivoltaics; Optimization; Light sharing; Apple Orchards; Lantbruk; Optimering; Ljusdelning; Äppelodlingar;

    Sammanfattning : Agrivoltaic (APV) systems, based on the co-location of solar panels and crops, are an innovative solution to land-use conflicts that often arise between agriculture and energy production. Their optimal functioning starts with efficient management and sharing of light between solar panels and underlying plants. LÄS MER

  4. 3. 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

  5. 4. 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

  7. 5. Bayesian Parameter Tuning of the Ant Colony Optimization Algorithm : Applied to the Asymmetric Traveling Salesman Problem

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

    Författare :Emmy Yin; Klas Wijk; [2021]
    Nyckelord :;

    Sammanfattning : The parameter settings are vital for meta-heuristics to be able to approximate the problems they are applied to. Good parameter settings are difficult to find as there are no general rules for finding them. Hence, they are often manually selected, which is seldom feasible and can give results far from optimal. LÄS MER