Essays about: "Constrained optimization"

Showing result 6 - 10 of 73 essays containing the words Constrained optimization.

1. 6. The Impact of Quantum Computing on the Financial Sector : Exploring the Current Performance and Prospects of Quantum Computing for Financial Applications through Mean-Variance Optimization

   University essay from Linköpings universitet/Produktionsekonomi

   Author : Ante Fahlkvist; Alfred Kheiltash; [2023]
   Keywords : Quantum computing; Finance; Financial applications; Mean-variance optimization; Zero-one quadratic programming; Quantum computing in finance;

   Abstract : Many important tasks in finance often rely on complex and time-consuming computations. The rapid development of quantum technology has raised the question of whether quantum computing can be used to solve these tasks more efficiently than classical computing. READ MORE

3. 7. 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

4. 8. 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

5. 9. Joint CFR and DPD optimization for 5G Digital Front Ends

   University essay from Lunds universitet/Matematik LTH

   Author : Gustav Olsson; [2023]
   Keywords : Crest Factor Reduction; Digital Pre-Distortion; Power Amplifier; Parameter Optimization; 5G; Base Station; Memory Polynomial; Technology and Engineering;

   Abstract : This thesis project investigates the topic of joint optimization for crest factor reduction and digital predistortion blocks, which are used for digital correction of analogue impairments in digital radio front ends. The work first investigates the effects of joint parameter variation of the above blocks on the global performance and computational cost of the digital chain, given reference CFR and DPD algorithms. READ MORE

6. 10. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications

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

   Author : Jonas Cederberg; [2023]
   Keywords : Lumped Parameter Thermal Network; Resistance-Capacitance model; Parameter estimation; Modelling of Dynamical Systems; Thermal modelling; Temperature Prediction; Termiskt nätverk med klumpade parametrar; Mostånds-kapacitans modell; Parameterestimering; Modellering av dynamiska system; Termisk modellering; Temperaturprediktion.;

   Abstract : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. READ MORE