Sökning: "optimality framework"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden optimality framework.

  1. 1. 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. 2. Cost optimization in the cloud : An analysis on how to apply an optimization framework to the procurement of cloud contracts at Spotify

    Master-uppsats, Linköpings universitet/Produktionsekonomi

    Författare :Harald Ekholm; Daniel Englund; [2020]
    Nyckelord :cloud computing; Spotify; monte carlo; MC; stochastic processes; stochastic programming; Google Cloud Platform; GCP; IT; computational resources; optimization; cost optimization; forecast; procurement;

    Sammanfattning : In the modern era of IT, cloud computing is becoming the new standard. Companies have gone from owning their own data centers to procuring virtualized computational resources as a service. This technology opens up for elasticity and cost savings. Computational resources have gone from being a capital expenditure to an operational expenditure. LÄS MER

  4. 3. Multi Agent Reinforcement Learning

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Rikard Isaksson; [2019-06-13]
    Nyckelord :;

    Sammanfattning : Machine learning and artificial intelligence has been a hot topic the last few years, thanks to improved computational power the machine learning framework can now be applied to larger data sets. Reinforcement learning is a group of machine learning algorithms where one does not know the correct answer in advance, much like unsupervised learning. LÄS MER

  5. 4. AUTOMATED OPTIMAL FORECASTING OF UNIVARIATE MONITORING PROCESSES : Employing a novel optimal forecast methodology to define four classes of forecast approaches and testing them on real-life monitoring processes

    Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Stanislav Razroev; [2019]
    Nyckelord :predictions; forecasting; optimal forecasting; forecast classes; optimality rules; ensemble forecasting; state switching; combinational forecasting; optimality framework; exponential smoothing; ARIMA; ARMA; SARIMA; Double-Seasonal Holt-Winters; time series; Wikipedia; Wikimedia; Wikipedia data; Twitter; Twitter data; electricity data; monitoring processes; monitoring process; monitoring; error metrics; outliers; missing values;

    Sammanfattning : This work aims to explore practical one-step-ahead forecasting of structurally changing data, an unstable behaviour, that real-life data connected to human activity often exhibit. This setting can be characterized as monitoring process. LÄS MER

  7. 5. Application of Machine Learning techniques to Optimization algorithms

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Geoffrey Dabert; [2017]
    Nyckelord :;

    Sammanfattning : Optimization problems have been immuned to any attempt of combination with machine learning until a decade ago but it is now an active research field. This thesis has studied the potential implementation of a machine learning heuristic to improve the resolution of the optimization scheduling problems based on a Constraint Programming solver. LÄS MER