Sökning: "Genetic Algorithms"

Visar resultat 1 - 5 av 198 uppsatser innehållade orden Genetic Algorithms.

  1. 1. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

    Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Författare :Alireza Momtaz; Mohammad Befkin; [2024]
    Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

    Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER

  3. 2. Microfluidic flow splitter shape optimization for high throughput

    Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Christoffer Papamoustos Palmér; Joel Linder; [2023]
    Nyckelord :Genetic algorithms; Lab-on-a-chip; Optimization; Acoustofluidics; Microfluidics; Technology and Engineering;

    Sammanfattning : Due to an increasing incidence rate, the need for new effective methods for diagnosing cancer are of high importance. Studies have shown that circulating tumor cells, CTCs, have great potential as a diagnostic biomarker. Acoustophoresis is a label free method, capable of separating CTCs from red blood cells in a blood sample. LÄS MER

  4. 3. Implementing and comparing challengers to popular multi-objective algorithms for unit test cases generation

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Elias Lindfors; [2023]
    Nyckelord :multi-objective; evosuite; genetic; algorithm;

    Sammanfattning : The topic of multi-objective algorithms has been researched for many years, where hundreds of multi-objective algorithms have been developed. With the field of search-based software engineering attracting use-cases, more research on which algorithms are fitting the area is still lacking. LÄS MER

  5. 4. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees

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

    Författare :Alexander Willemsen; [2023]
    Nyckelord :Behaviour Trees; Genetic Programming; Quality Diversity; Gedragsbomen; Genetische Programmering; Kwaliteitsdiversiteit; Beteendeträd; Genetisk Programmering; Kvalitetsmångfald;

    Sammanfattning : One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop solutions that can autonomously solve problems. An important part of this is synthesising behaviours of robots. Behaviour Trees are a tree structure that enables combining existing lower level behaviours into a high level behaviour through task switching. LÄS MER

  7. 5. 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