Essays about: "particle swarm"

Showing result 6 - 10 of 50 essays containing the words particle swarm.

1. 6. 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. 7. Database Tuning using Evolutionary and Search Algorithms

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Erica Raneblad; [2023]
   Keywords : Database tuning; Performance optimization; Evolutionary algorithms; Particle Swarm Optimization; Database configuration; Hill Climbing;

   Abstract : Achieving optimal performance of a database can be crucial for many businesses, and tuning its configuration parameters is a necessary step in this process. Many existing tuning methods involve complex machine learning algorithms and require large amounts of historical data from the system being tuned. READ MORE

4. 8. Minimizing initial margin requirements using computational optimization

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Jacob Ahlman Bohm; [2023]
   Keywords : optimization; initial margin; simulated annealing; particle swarm optimization; differential evolution;

   Abstract : Trading contracts with future commitments requires posting a collateral, called initial margin requirement, to cover associated risks. Differences in estimating those risks and varying risk appetites can however lead to identical contracts having different initial margin requirements at different market places. READ MORE

5. 9. Design of a Dielectric Radome using a Ray-Tracing Model for Satellite Communications

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

   Author : Flores Espinosa Núria; [2023]
   Keywords : Dielectric radome; Ray tracing; Array antenna; Lens antenna; Satellite communications; Radom dielèctric; Traçat de Rajos; Arranjament d’antenes; Antena de lent; Comunicacions per satèl·lit; Dielektrisk radome; Strålspårning; Gruppantenn; Linsantenn; Satellitkommunikation;

   Abstract : In recent years, there has been a huge increase in the use of satellite communications. This has led to a need for more capacity, which can be solved by moving towards higher frequency bands in search of higher bandwidths. READ MORE

6. 10. Auto-Tuning Apache Spark Parameters for Processing Large Datasets

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

   Author : Shidi Zhou; [2023]
   Keywords : Apache Spark; Cloud Environment; Spark Configuration Parameter; Resource Utilization; Ridge Regression; Elastic Net; Random Forest; Deep Neural Network; Bayesian Optimization; Particle Swarm Optimization.; Apache Spark; Molnmiljö; Apache Spark konfigurationsparameter; Resursutnyttjande; Ridge-regression; Elastisk nät; Slumpskog; Djupt neuralt nätverk; Bayesiansk optimering; Partikelsvärmsoptimering.;

   Abstract : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. READ MORE