Sökning: "Evolutionary optimization"

Visar resultat 1 - 5 av 45 uppsatser innehållade orden Evolutionary optimization.

  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. 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

  4. 3. Database Tuning using Evolutionary and Search Algorithms

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Erica Raneblad; [2023]
    Nyckelord :Database tuning; Performance optimization; Evolutionary algorithms; Particle Swarm Optimization; Database configuration; Hill Climbing;

    Sammanfattning : Achieving optimal performance of a database can be crucial for many businesses, and tuning its configuration parameters is a necessary step in this process. Many existing tuning methods involve complex machine learning algorithms and require large amounts of historical data from the system being tuned. LÄS MER

  5. 4. Benchmarking a memetic algorithm for global all-atom protein-protein docking with backbone flexibility

    Kandidat-uppsats, Lunds universitet/Kemiska institutionen

    Författare :Vera Karlin; [2022]
    Nyckelord :biochemistry; EvoDOCK; algorithm; protein; iRMSD; DockQ; CAPRI; Chemistry;

    Sammanfattning : Determining how proteins interact with each other to form complexes is very important for understanding both disease and cellular functions, but experimentally determining the structures of these complexes is both tedious and slow, which is why a great number of protein-protein docking algorithms have been developed to predict them. To this day, conformational changes in protein backbones have been one of the largest challenges when making docking predictions. LÄS MER

  7. 5. Multiobjective Optimization of a Pre-emptive Flexible Job-shop Problem with Machine Transportation Delay

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

    Författare :Albin Eriksson; [2022]
    Nyckelord :multiobjective optimization; nsga-ii; scheduling problem;

    Sammanfattning : The job scheduling problem is a type of scheduling problem where a list of jobs and machines are given. A solution consists of a schedule where each job is assigned to one or multiple machines at a certain time. LÄS MER