Sökning: "Genetiska algoritmer"

Visar resultat 1 - 5 av 72 uppsatser innehållade orden Genetiska algoritmer.

  1. 1. CPU vs GPU performance when solving the flexible job-shop problem using genetic algorithms

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

    Författare :Love Göransson; Marcus Nilszén; [2023]
    Nyckelord :;

    Sammanfattning : In this thesis, a comparison is made between the performance of genetic algorithms executed on the CPU and the GPU for solving the Flexible Job-shop Scheduling Problem (FJSP). The purpose is to determine whether one processing unit offers better performance than the other. LÄS MER

  3. 2. Constellation Optimization using Genetic Algorithm : Combining SAR & Optical Sensors with AI Requirements

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

    Författare :Adrian Pellnäs; [2023]
    Nyckelord :Satellite Constellation Design; Satellite Constellation Optimization; AI - Artificial Intelligence; Synthetic Apterture Radar; Dual-axis; RegionalCoverage Analysis; Satellitkonstellationsdesign; Optimering av satellitkonstellationer; AI - Artificiell Intelligens; Syntetisk Apertur Radar; Dual-axis; Analys avregional täckning;

    Sammanfattning : With increasing world tensions and improvements of satellites and their sensors, the interest and possibility of using space and satellites for defensive purposes has increased greatly. However, not much research has been conducted into the needs and possibilities of satellite constellations over Sweden, especially using SAR and optical sensors combined with AI object detection. LÄS MER

  4. 3. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms

    Kandidat-uppsats,

    Författare :Rahmat Rohoullah; Månsson Joakim; [2023]
    Nyckelord :BRISK; YOLO; Reinforcement learning; Evolutionary algorithm; OCR; Image pre-processing; Computer vision; BRISK; YOLO; Förstärkningslärning; Evolutionär algorithm; OCR; Bildförbehandling; Datorseende;

    Sammanfattning : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. LÄS MER

  5. 4. Methods for Co-Orbital Threat Assessment in Space

    Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Författare :Mathias Dahlman; [2023]
    Nyckelord :threats in space; threat assessment; Lambert s problem; genetic algorithms; NSGA-II; space surveillance and tracking capabilities; hot i rymden; hotbedömning; Lamberts problem; genetiska algoritmer; NSGA-II; inmätning och övervakning av rymdobjekt;

    Sammanfattning : This study investigates methods for assessing threats in space. Space services are crucial to both civilian and military capabilities, and a loss of such systems could have severe consequences. Space systems are exposed to various types of threats. LÄS MER

  7. 5. SARS-CoV-2 Lineage Clustering : Using Unsupervised Machine Learning

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

    Författare :Amanda Hedlund; Fonzie Forsman; [2022]
    Nyckelord :;

    Sammanfattning : The methods of sequencing genetic information and the access to this information has proved to be very useful in the research and understanding of viruses. It can for example be used to develop vaccines, manage pandemics, and attempt to map the virus’ spread and development. LÄS MER