Essays about: "multiobjektiv optimering"
Showing result 1 - 5 of 7 essays containing the words multiobjektiv optimering.
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1. 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)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
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2. Access Point Selection and Clustering Methods with Minimal Switching for Green Cell-Free Massive MIMO Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As a novel beyond fifth-generation (5G) concept, cell-free massive MIMO (multiple-input multiple-output) recently has become a promising physical-layer technology where an enormous number of distributed access points (APs), coordinated by a central processing unit (CPU), cooperate to coherently serve a large number of user equipments (UEs) in the same time/frequency resource. However, denser AP deployment in cell-free networks as well as an exponentially growing number of mobile UEs lead to higher power consumption. READ MORE
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3. Boost Converter Inductor Design for High-Power Fuel Cells Using Pareto Optimisation for Single and Coupled Cores
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hydrogen has been identified by the European Commission to be a competitive alternative to fossil fuels within the transport sector in the medium to long perspective. Because of this, an increased understanding is required of the electrical power train present within such vehicles. READ MORE
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4. Discrete Flower Pollination Algorithm for the Graph Coloring Problem
University essay from KTH/DatavetenskapAbstract : The graph coloring problem (GCP) is a famous NP-hard problem applicable to many real-world problems. The Flower Pollination Algorithm (FPA) is a relatively recently developed algorithm based on the pollination-behaviors of flowers. It has seen great results in single- and multi-objective optimization in continuous search spaces. READ MORE
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5. Emission Calculation Model for Vehicle Routing Planning : Estimation of emissions from heavy transports and optimization with carbon dioxide equivalents for a route planning software
University essay from Linköpings universitet/EnergisystemAbstract : The transport sector is a major cause of emissions both in Sweden and globally. This master thesis aims to develop a model for estimating emissions from heavy transport on a specific route. The emissions can be used in a route planning software and help the driver choose a route that contributes to reduced emissions. READ MORE
