Essays about: "Swarm Intelligence"

Showing result 1 - 5 of 15 essays containing the words Swarm Intelligence.

  1. 1. Investigating the Use of Digital Twins to Optimize Waste Collection Routes : A holistic approach towards unlocking the potential of IoT and AI in waste management

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

    Author : Aarati Medehal; [2023]
    Keywords : Internet of Things; Industry 4.0; Smart Cities; Artificial Intelligence; Travelling Salesman problem; Vehicle Routing Problems; Digital Twins; Waste collection; Optimization; Metaheuristics algorithms; Ant Colony Optimization; Simulated Annealing; Particle Swarm; Tabu Search; Genetic Algorithm; Ontology; Digital Twin Definition Language; Internet of Things; Industri 4.0; Smarta städer; Artificiell intelligens; Travelling Salesman problem; Vehicle Routing Problems; Digitala tvillingar; Sophämtning; Optimering; Metaheuristika algoritmer; Ant Colony optimering; Simulerad glödgning; Partikelsvärm; Tabu-sökning; Genetisk algoritm; Ontologi; Digitala tvillingar defintitionsspråk;

    Abstract : Solid waste management is a global issue that affects everyone. The management of waste collection routes is a critical challenge in urban environments, primarily due to inefficient routing. This thesis investigates the use of real-time virtual replicas, namely Digital Twins to optimize waste collection routes. READ MORE

  3. 2. Combined Regularisation Techniques for Artificial Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Joseph Binns; [2022]
    Keywords : Artificial Neural Networks; ANNs; Overfitting; Combined Regularisation Techniques; Regularisation Techniques; Regularisation; L2; Weight Decay; Dropout; Early Stopping; Physics and Astronomy;

    Abstract : Artificial neural networks are prone to overfitting – the process of learning details specific to a particular training data set. Success in preventing overfitting through combining the L2 and dropout regularisation techniques has led to the combination’s recent popularity. READ MORE

  4. 3. Formation Control and UAV Path Finding Under Uncertainty : A contingent and cooperative swarm intelligence approach

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Mehdi Hmidi; [2020]
    Keywords : Emergence; Swarm Intelligence; Cooperation; Consensus; Path Find- ing; Uncertainty; Obstacle avoidance; Unknown Beforehand; Decision making; Flocking behavior; Cohesion; Separation; Alignment; Steering; Pattern forma- tion; Self-organization; Swarm; UAV; Drone;

    Abstract : Several of our technological breakthroughs are influenced by types of behavior and structures developed in the natural world, including the emulation of swarm in- telligence and the engineering of artificial synapses that function like the human mind. Much like these breakthroughs, this report examines emerging behaviors across swarms of non-communicating, adaptive units that evade obstacles while find- ing a path, to present a swarming algorithm premised on a class of local rule sets re- sulting in a Unmanned Aerial Vehicle (UAV) group navigating together as a unified swarm. READ MORE

  5. 4. Online swarm exploration in virtual 3D environments : Possible approaches for expanding simulation-based game testing

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

    Author : Veronica Hage; [2020]
    Keywords : ;

    Abstract : The use of AI-driven and simulation-based testing of games is becoming a more and more practiced method in the game development industry as present- day virtual 3D environments become more and more semantically complex. Test coverage (here defined as a metric of how many game states are reached in a set of simulation-based tests) in games can be generated by creating interaction between the virtual characters and their virtual environments. READ MORE

  6. 5. Placement support for signal intelligence units

    University essay from Uppsala universitet/Avdelningen för datalogi

    Author : Olle Frisberg; [2019]
    Keywords : signal intelligence; optimization;

    Abstract : The goal of this thesis was to develop an optimization model that automatically finds optimal groupings for signal intelligence units, aiming to maximize surveillance capability in a user-defined target area. Consideration was taken to transportation possibilities, type of terrain, and the requirement of radio communication between the direction finders. READ MORE