• Micromanagement in StarCraft using Potential Fields tuned with a Multi- Objective Genetic Algorithm 

      Rathe, Espen Auran; Svendsen, Jørgen Bøe (Master thesis, 2012)
      This thesis presents an approach to controlling Micromanagement in Real-Time Strategy (RTS) computer games using Potential Fields (PF) that are tuned with Multi-Objectve Optimized Evolutionary Algorithms (MOEA), specifically ...
    • Modularity as a Solution to Spatial Interference in Neural Networks 

      Soldal, Kim Verner (Master thesis, 2012)
      Modularity is an architectural trait that is prominent in biological neural networks, but strangely absent in evolved artificial neural networks. This report contains the results of a theoretical study focusing on two ...
    • MP3 decoding on OpenRISC 1200, an open source RISC microcontroller. 

      Gulling, Olav (Master thesis, 2005)
      OpenRISC er en fritt tilgjengelig mikrokontroller, med tilhørende utviklingsverktøy. Ekstra moduler kan kobles til den, og dermed øke funksjonaliteten til kontrolleren. Det å arbeide med en åpen kilde kan være tidkrevende, ...
    • MPEG-2 video-decoding for OpenRISC 

      Haugseggen, Morten (Master thesis, 2005)
      Oppgaven har tatt for seg tre forskjellige måter å utvide en open hardware prosessor på. En av metodene har blitt brukt for en faktisk implementasjon, mens de to andre har blitt brukt til simulering. Hardware aksellereringen ...
    • Multi-Objective Neuroevolution in Super Mario Bros. 

      Tønder, Lars Solvoll; Olsen, Ole-Petter (Master thesis, 2013)
      This thesis explores how to use Multi-Objective Evolutionary Algorithms (MOEA)to solve problems that are not explicitly defined as multi-objective problems. Aneuroevolution technique consisting of combining a multi-objective ...
    • Navigating by decoding grid cells: Investigating the role of entorhinal grid cells through computational modeling at the intersection of neuroscience and artificial intelligence 

      Edvardsen, Vegard (Doctoral theses at NTNU;2019:338, Doctoral thesis, 2019)
      Ever since grid cells were discovered in the mammalian entorhinal cortex over a decade ago, the striking representation of space generated by these neurons has offered a peek at the inner workings of navigational processes ...
    • Path Integration in a Swarm of Robots 

      Rye, Anders Søbstad (Master thesis, 2014)
      In this report I propose a method of navigation for differentially wheeled robots inspired by path integration in certain social insects like bees and ants. It is a very simple method, intended for use in low-tech robots ...
    • Solving Multi-Constraint Large-Scale Vehicle Routing Problems 

      Grimsgaard, Stian Tornholm (Master thesis, 2020)
      Ruteproblemet, kjent som "Vehicle routing problem (VRP)" , har vært forsket på i over seksti år på grunn av dets teoretiske kompleksitet og betydning i mange bruksområder. Mange applikasjoner i det virkelige liv har et økt ...
    • Swarm intelligence in bio-inspired robotics 

      Berg, Jannik; Karud, Camilla Haukenes (Master thesis, 2011)
      In this report, we have explored swarm intelligence through a box-pushing taskwith physical robots called e-pucks. Research on social insects has been presentedtogether with dierent ways of controlling autonomous robots, ...
    • Use of Repellent Pheromones In Collective Exploration 

      Fossum, Filip (Master thesis, 2014)
      This report explores the possibilities of using repellent pheromones in order to achieve efficient dispersion of a swarm of robots. The goal is to have a set of autonomous robots cover an unknown environment by collectively ...
    • Using CBR to predict job running time in a Grid 

      Hidle, Erik (Master thesis, 2011)
      In this Thesis we look at different techniques for predicting job running timein a Grid environment. We develop a system based on Case Based Reasoningcalled PREDATOR which is evaluated and compared to a simple approach ...
    • Utvikling av altruisme med gjenkjennelse av slektskap i evolusjonære roboter 

      Hagen, Andreas (Master thesis, 2014)
      Svermroboter tilbyr løsinger på problemer ved å bruke grupper av selvstyrte roboter. Robotene viser intelligent adferd som en egenskap som oppstår som følge av summen av det de gjør Kontrollmekanismer for disse robotene ...