Sökning: "Genetic Algorithm GA"

Visar resultat 1 - 5 av 53 uppsatser innehållade orden Genetic Algorithm GA.

  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. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Nandini Mattathil Suresh; [2023]
    Nyckelord :Unit Commitment Problem; Genetic Algorithm; Meta-heuristics; Economic Dispatch; Constrained Optimization; Encoding; Crossover; Mutation; Selection;

    Sammanfattning : The Unit Commitment Problem (UCP) poses a significant challenge in optimizing powergeneration schedules within complex and dynamic energy systems. This study explores theapplication of Genetic Algorithms (GAs) as a promising approach to address UCP, their ability tonavigate complex solution spaces and adapt to changing operational conditions. LÄS MER

  4. 3. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

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

    Författare :Nathan Allard; [2023]
    Nyckelord :;

    Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER

  5. 4. Comparative Study of Genetic Algorithm Optimized FO-PID and LQR Control Strategies Applied to a Piston Pump in a Volume Calibration System

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

    Författare :Yaman Deif; [2023]
    Nyckelord :FOPID; LQR; GA; Servo Piston Pump; BLDC; Control Comparison; System Modeling; Volume Measuring.; FOPID; LQR; GA; Servo Piston Pump; BLDC; Styrjämförelse; Systemmodellering; Volymmätning.;

    Sammanfattning : One of the key responsibilities of Getinge's ventilators is to deliver accurate gas volumes to patients. To ensure this precision, specially designed rigid steel tanks are utilized to evaluate the performance and precision of the ventilators in providing exact air volume. LÄS MER

  7. 5. Feature Selection for Sensor Failure Detection in Manufacturing Environment

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Victor Knutmejer; Hannes Elfving; [2023]
    Nyckelord :AI; Artificiell Intelligens; Maskininlärning; Feature Selection;

    Sammanfattning : Automated manufacturing environments often benefit greatly from the ability to detect patterns that deviate from expected behavior. Anomaly Detection (AD) is vital in automated manufacturing to mitigate risks such as production delays, defects, and safety hazards, ensuring smooth operations and optimal productivity. LÄS MER