Sökning: "Genetiska algoritmer"

Visar resultat 6 - 10 av 72 uppsatser innehållade orden Genetiska algoritmer.

1. 6. Initial access in 5G mmWave networks with different base station parameters

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

   Författare :Xiao Yang; [2022]
   Nyckelord :Initial Access; Millimeter-Wave Network; Cell Search; Random Search; Genetic Algorithm; Machine Learning; Första åtkomst; Millimetervågsnätverk; Cell sökning; Slumpmässig sökning; Genetisk algoritm; Maskininlärning;

   Sammanfattning : Nowadays in the fifth generation (5G) communication systems, millimeter wave (mmWave) has aroused interest to not only industrial use but also network operators due to the massive amount of bandwidth available at mmWave frequencies. Initial access in cellular systems is an essential procedure in which new mobile user equipment (UE) establishes a connection with a base station (BS). LÄS MER

3. 7. Genetic Algorithms for optimizing behavior trees in air combat

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :David Ångström; [2022]
   Nyckelord :Genetic Algorithm; Behavior Tree; Behavior Model; Simulation; Optimization;

   Sammanfattning : Modelling and simulating entities in virtual environments are tools commonly used by companies to test, validate and verify their products in close to real scenarios; effectivelyreducing the cost, time and effort compared to real life testing. This is especially the case in the area of air combat where realistic behaviors are not only a necessity, but paramount to replace the costs of fuel and operation time. LÄS MER

4. 8. Modelling and Simulation of Interior Permanent Magnet Synchronous Machine and, Design Optimization Towards Transmission

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

   Författare :Sindhuja Balaji; [2022]
   Nyckelord :Traction motors; Electric vehicles; Interior permanent magnet synchronous machine; Electric machine FEM simulation; Flux 2D; Electric machine design optimization; Estimation of current and control angle; Multi-objective optimization.; Traktionsmotor; elektriskt fordon; permanentmagnetiserad synkron maskin; FEM simulering; Flux 2D®; design optimering elmaskin; Skattning av ström och styrvinkel; multi-objektiv optimering.;

   Sammanfattning : This report summarizes the thesis study carried out at Scania CV AB. The study presents design optimization of an interior permanent magnetic (IPM) synchronous machine. A parameterised Matlab tool was developed in order to serve the optimization routine. LÄS MER

5. 9. Concept Population & Verification of Traction Motors

   Master-uppsats, KTH/Fordonsdynamik

   Författare :Aditya Pratap Singh; [2021]
   Nyckelord :Synchronous Reluctance Motor SynRM ; Permanent Magnet Synchronous Motor PMSM ; Permanent Magnet assisted SynRM PM-SynRM ; traction motors; electrical machines; Synkron Reluktansmotor; Permanent Magnet Synkron motor; Permanent Magnet assisterad Synkron motor; framdrivningsmotorer; elmotorer;

   Sammanfattning : The electrification of automobiles has emerged as the sustainable powertrain solutionto meet United Nations sustainable development goals of sustainable cities andcommunities, affordable and clean energy, and climate action. The success of theelectrification depends on the efficiency of traction motors. LÄS MER

7. 10. Hyperparameter Tuning Using Genetic Algorithms : A study of genetic algorithms impact and performance for optimization of ML algorithms

   Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Författare :Franz David Krüger; Mohamad Nabeel; [2021]
   Nyckelord :Machine learning; Data mining; ML algorithm; Genetic algorithms; hyperparameter optimization.;

   Sammanfattning : Maskininlärning har blivit allt vanligare inom näringslivet. Informationsinsamling med Data mining (DM) har expanderats och DM-utövare använder en mängd tumregler för att effektivisera tillvägagångssättet genom att undvika en anständig tid att ställa in hyperparametrarna för en given ML-algoritm för nå bästa träffsäkerhet. LÄS MER