Sökning: "Categorical optimization"

Hittade 5 uppsatser innehållade orden Categorical optimization.

  1. 1. Fair Partitioning of Procedurally Generated Game Maps for Grand Strategy Games

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Jens Ottander; [2022]
    Nyckelord :Procedural map generation; Constrained optimization; Categorical optimization; Multiobjective optimization; Genetic algorithms; NSGA-III; MOEA D-IEpsilon; Grand Strategy Games; Partitioning; Multiplayer Games;

    Sammanfattning : Due to the high cost of manual content creation within the game development industry, methods for procedural generation of content such as game maps and levels have emerged. However, methods for generating game maps have remained relatively unexplored in competitive multiplayer contexts. LÄS MER

  3. 2. Direktresistensbestämning för blododlingar : Volymoptimering och reproducerbarhet

    Kandidat-uppsats, Jönköping University

    Författare :Natalee Westman; [2021]
    Nyckelord :blood culture; direct antimicrobial susceptibility testing; disc diffusion; rapid diagnostic; blododling; direktresistensbestämning; diskdiffusion; snabb diagnostik;

    Sammanfattning : Direct antimicrobial susceptibility testing (dAST) is not a standardized method and there is no recommendations regarding the volume of blood culture media to be used. The aim of the study was to optimize the method of dAST by determining a volume of blood culture media in µL to be used and to test the reproducibility of the volume optimized method. LÄS MER

  4. 3. Algorithms for Pure Categorical Optimization

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Oskar Eklund; David Ericsson; Astrid Liljenberg; Adam Östberg; [2019-06-20]
    Nyckelord :;

    Sammanfattning : Optimeringsproblem med kategoriska variabler är vanligt förekommande exempelvis inom bilindustrin och andra industrier där mekaniska komponenter ska väljas ut och kombineras på gynnsamma sätt. Avsaknaden av naturlig ordning på beslutsvariablerna gör att kategoriska optimeringsproblem oftast är svårare att lösa än diskreta eller kontinuerliga problem. LÄS MER

  5. 4. Anomaly Detection in Categorical Data with Interpretable Machine Learning : A random forest approach to classify imbalanced data

    Kandidat-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Ping Yan; [2019]
    Nyckelord :machine learning; decision tree; imbalanced data; anomaly detection; random forest; maskininlärning; beslut träd; obalanserat data; anomalitetsdetektering;

    Sammanfattning : Metadata refers to "data about data", which contains information needed to understand theprocess of data collection. In this thesis, we investigate if metadata features can be usedto detect broken data and how a tree-based interpretable machine learning algorithm canbe used for an effective classification. The goal of this thesis is two-fold. LÄS MER

  7. 5. GMO perceptions among Swedish stakeholders and their implication on the acceptance of a new biotechnological advancement

    Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

    Författare :Sanaz Habibi Shahbolaghi; [2018]
    Nyckelord :Sustainable Development; GMO; biotechnology; CRISPR; Reservations; Sweden.;

    Sammanfattning : With the global population expected to reach more than 10 billion by the year 2050, one of the global challenges will be in meeting the growing food demand. Coupled with the effects of climate change on the environment, the world will need plant varieties that can adapt to changing environmental conditions to meet the food production challenge. LÄS MER