Essays about: "Heuristic Optimisation model"

Showing result 1 - 5 of 7 essays containing the words Heuristic Optimisation model.

  1. 1. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lucas Alava Peña; [2023]
    Keywords : Instruction Scheduling; Deep reinforcement Learning; Compilers; Graph Convolutional Networks; Schemaläggning av instruktioner; Deep Reinforcement Learning; kompilatorer; grafkonvolutionella nätverk;

    Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE

  3. 2. Contributions to a New CBLS Backend for MiniZinc

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Maarten Lucas Flippo; [2022]
    Keywords : ;

    Abstract : MiniZinc is a language which enables the modelling of combinatorial optimisation and satisfaction problems independently from any particular problem solver and its technology. One technology for solving combinatorial optimisation and satisfaction problems is constraint-based local search (CBLS). READ MORE

  4. 3. Machine Learning for Forecasting Signal Strength in Mobile Networks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Nikolajs Prihodko; [2018]
    Keywords : machine learning; time series; forecasting; mobile networks; var; neural networks; gru; gaussian processes; hyperparameter optimization;

    Abstract : In this thesis we forecast the future signal strength of base stations in mobile networks. Better forecasts might improve handover of mobile phones between base stations, thus improving overall user experience. Future values are forecast using a series of past sig- nal strength measurements. READ MORE

  5. 4. Development of a pitch based wake optimisation control strategy to improve total farm power production

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Jun Liang Tan; [2016]
    Keywords : Wake reduction; Jensen Wake Model; Particle Swarm Optimisation; Wind turbine Control Algorithm; Deterministic Wake Modelling; Heuristic Optimisation model;

    Abstract : In this thesis, the effect of pitch based optimisation was explored for a 80 turbine wind farm. Using a modified Jensen wake model and the Particle Swarm Optimisation (PSO) model, a pitch optimisation strategy was created for the dominant turbulence and atmospheric condition for the wind farm. READ MORE

  6. 5. Development of a pitch based wake optimisation control strategy to improve total farm power production

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Jun Liang Tan; [2016]
    Keywords : Wake reduction; Energy optimisation; Jensen wake model; Heuristic Optimisation; Particle Swarm Optimisation; Deterministic Wake Modelling; Wind Turbine Control Strategy;

    Abstract : In this thesis, the effect of pitch based optimisation was explored for a 80 turbine wind farm. Using a modified Jensen wake model and the Particle Swarm Optimisation (PSO) model, a pitch optimisation strategy was created for the dominant turbulence and atmospheric condition for the wind farm. READ MORE