Essays about: "Multi- objective optimization"

Showing result 1 - 5 of 135 essays containing the words Multi- objective optimization.

  1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Author : Jiayi Feng; [2023]
    Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

  2. 2. A Multi-State Particle Swarm Optimization model to find the golden hour coverage of MSUs

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Anton Holm; Gabriel Modin Bärzén; [2023]
    Keywords : Particle Swarm Optimization; PSO; Multi-State Particle Swarm Optimization; Mobile Stroke Unit; MSU; Stroke care;

    Abstract : When suffering a stroke, the time to treatment is one of the key factors to increase the chance of desirable recovery. To ensure proper treatment, a diagnosis has to be made before treatment can begin. The potential consequences of treating a misdiagnosis can be severely harmful or even deadly. READ MORE

  3. 3. Methods for determining focal point and delay for ultrasound arrays and multichannel electronics

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Svante Rosenlind; [2023]
    Keywords : Focusing algorithms; k-wave; Spatiotemporal inverse filter; Gerchberg- Saxton algorithm; Focused ultrasound; Technology and Engineering;

    Abstract : High intensity focused ultrasound is a growing technique for tissue ablation, among other uses, and given its destructive capabilities, there is a need for control of where the energy is delivered. There exist a number of methods for focusing such ultrasound arrays, but these often assume prior knowledge of the impulse response, or require extensive full-system simulations. READ MORE

  4. 4. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

    Author : Shihang Zhou; [2023]
    Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

  5. 5. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Nandini Mattathil Suresh; [2023]
    Keywords : Unit Commitment Problem; Genetic Algorithm; Meta-heuristics; Economic Dispatch; Constrained Optimization; Encoding; Crossover; Mutation; Selection;

    Abstract : The Unit Commitment Problem (UCP) poses a significant challenge in optimizing powergeneration schedules within complex and dynamic energy systems. This study explores theapplication of Genetic Algorithms (GAs) as a promising approach to address UCP, their ability tonavigate complex solution spaces and adapt to changing operational conditions. READ MORE