Sökning: "evolutionary algorithm"

Visar resultat 1 - 5 av 81 uppsatser innehållade orden evolutionary algorithm.

  1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  3. 2. Exploring the aesthetical qualities of scaled game maps through Human-AI Collaboration

    M1-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Petter Rignell; Christian Sjösvärd; [2023]
    Nyckelord :game design; scale; scalability; aesthetics; AI; Human-AI Collaboration; MAP-Elites; EDD;

    Sammanfattning : The primary objective is to explore the scalability of two-dimensional game maps while preserving certain aesthetical qualities in scaled representations. By either upscaling or downscaling the maps, features of the map inducing these aesthetical qualities may diminish. LÄS MER

  4. 3. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Sharif Noor Zisad; [2023]
    Nyckelord :Explainable AI; Explainability; Transparency; Belief Rule Based Expert System; Evolutionary Algorithm; Deep Learning;

    Sammanfattning : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. LÄS MER

  5. 4. Deployment planning of UAV Base Stations using Multi Objective Evolutionary Algorithms (MOEA)

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Nadir Arfi; [2023]
    Nyckelord :Deployment planning; UAV-Base Stations; multi-objective; evolutionary algorithms; fitness approximation;

    Sammanfattning : This research study focuses on solving the deployment planning problem for UAV-BSs using Multi-Objective Evolutionary Algorithms (MOEAs). The main research objectives encompass gridbased modelling of the target area, investigating evolution parameters, and evaluating algorithm performance in diverse deployment scenarios. LÄS MER

  7. 5. 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