Essays about: "Multi-objective Optimization Problem"

Showing result 1 - 5 of 46 essays containing the words Multi-objective Optimization Problem.

1. 1. 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

3. 2. Optimal process design with simulation-based optimization

   University essay from KTH/Matematik (Avd.)

   Author : Giulia Grasso; [2023]
   Keywords : Optimization; Multi-Objective; Simulation-based; Optimering; flermålsoptimering; simuleringsbaserad;

   Abstract : Nowadays, it has become crucial to transform company production processes in order to reduce carbon emissions. Therefore, the company LKAB is working to make the production process of iron ore pellets fossil-free. In particular, this thesis project focuses on the pellet induration stage and addresses the mathematical optimization of the process. READ MORE

4. 3. Streamlining the flow of material through buffer simulation and multi-objective optimization, with regards to sustainability : A case study at Volvo Construction Equipment

   University essay from Linnéuniversitetet/Institutionen för maskinteknik (MT)

   Author : Daniel Nord; Alex Wernholm; [2023]
   Keywords : Multi-Objective optimization; Buffer Allocation Problem; Simulation modeling; FACTS Analyzer; Buffer allocation; Optimization; Buffers; Lean; Manufacturing; Streamlining; Sustainability; Flow of material; Design of Experiments; Gemba walk; Data visualization;

   Abstract : This thesis will provide knowledge on how to maintain a well developed flow of material while at the same time finding an optimal level of capacities for buffers. Simultaneously, aspects that allow for positive sustainability practices will be regarded.  Buffers have a considerable impact on the performance of a production system. READ MORE

5. 4. Reproducibility and Applicability of a Fuzzy-based Routing Algorithm in Wireless Sensor Networks

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Hannes Rönningen; Erik Olofsson; [2023]
   Keywords : End-to-end delay; Energy-efficiency; Fuzzy logic; Lifetime maximization; Multi-hop network; Multiobjective optimization; Reinforcement learning; Routing; Routing-protocol; Shortest path; Wireless sensor networks; WSN localization;

   Abstract : Wireless sensor networks is a broad subject with many applications and interesting research areas, such as optimization within connectivity and energy efficiency. One problem is that most published articles in this field use customized simulation environments and do not provide source code of their implementation. READ MORE

6. 5. 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)

   Author : Qinglong He; [2022]
   Keywords : Cell-free massive MIMO; multi-objective optimization; deep reinforcement learning; AP switch ON OFF; energy efficiency; Cellfri massiv MIMO; multiobjektiv optimering; djup förstärkningsinlärning; AP switch ON OFF; energieffektivitet;

   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