Sökning: "NSGA-II"

Visar resultat 1 - 5 av 29 uppsatser innehållade ordet NSGA-II.

  1. 1. Implementing and comparing challengers to popular multi-objective algorithms for unit test cases generation

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Elias Lindfors; [2023]
    Nyckelord :multi-objective; evosuite; genetic; algorithm;

    Sammanfattning : The topic of multi-objective algorithms has been researched for many years, where hundreds of multi-objective algorithms have been developed. With the field of search-based software engineering attracting use-cases, more research on which algorithms are fitting the area is still lacking. LÄS MER

  3. 2. 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

  4. 3. 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

  5. 4. Automatic icon placement approach for improved association & walkability on city wayfinding maps

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Sofia Apostolidou; [2023]
    Nyckelord :Physical Geography; Ecosystem Analysis; Cartography; Icon placement; High density; City wayfinding maps; Quality metrics; Association; Disturbance; Legibility; Cartographic guidelines; Grid algorithm; Evaluation; Multi-objective optimization; NSGA-II; Pareto front; Walkability; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : With the evolution of cartography from hand-drawn to digital maps, the task of icon placement has become increasingly complex. Nowadays there is a need to automate this process to produce high quality results in less time. LÄS MER

  7. 5. Methods for Co-Orbital Threat Assessment in Space

    Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Författare :Mathias Dahlman; [2023]
    Nyckelord :threats in space; threat assessment; Lambert s problem; genetic algorithms; NSGA-II; space surveillance and tracking capabilities; hot i rymden; hotbedömning; Lamberts problem; genetiska algoritmer; NSGA-II; inmätning och övervakning av rymdobjekt;

    Sammanfattning : This study investigates methods for assessing threats in space. Space services are crucial to both civilian and military capabilities, and a loss of such systems could have severe consequences. Space systems are exposed to various types of threats. LÄS MER