Sökning: "Discrete optimization"

Visar resultat 1 - 5 av 98 uppsatser innehållade orden Discrete optimization.

  1. 1. Hydrogen storage systems : Methodology and model development for hydrogen storage systems performance evaluation based on a transient thermodynamic approach

    Master-uppsats, Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Författare :Kreshnik Margaritari; [2023]
    Nyckelord :Hydrogen; Hydrogen storage system; Hydrogen filling process; Hydrogen storage system operation; Hydrogen storage system design; Hydrogen fast filling; Hydrogen tank modelling;

    Sammanfattning : The overall performance of a hydrogen storage system can be affected by various parameters, such as operation and design parameters, but also by the state of the hydrogen contained inside the storage tanks. In this work, a methodology is developed to evaluate the state of the hydrogen during the filling process and its impact on the overall system performance under variable operation conditions and design parameters. LÄS MER

  3. 2. Empirical Evaluation of Construction Methods for Relaxed Decision Diagrams in Scheduling

    Master-uppsats, Linköpings universitet/Programvara och system

    Författare :Dennis Berntsson; [2023]
    Nyckelord :Decision diagrams; Discrete optimization; Dynamic programming; Scheduling; Top-down compilation; Incremental refinement;

    Sammanfattning : Decision diagrams have recently emerged as a promising approach for difficult scheduling problems, along with other challenging discrete optimization problems. Decision diagrams can offer a compact representation of the solution space, and has the ability to capture complex constraints that are hard to model or express in other techniques. LÄS MER

  4. 3. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Oskar Falkeström; [2023]
    Nyckelord :edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

    Sammanfattning : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. LÄS MER

  5. 4. Driftoptimering av luftningssystem och närsaltsdosering i ett skogsindustriellt reningsverk : Utvärdering av en biologisk reningsprocess ur ett energi-, miljö- och kostnadsperspektiv

    Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Selma Zetterlund; Olivia Schwartz; [2023]
    Nyckelord :Simulink; reningsteknik; luftning; närsaltsdosering; reglerteknik;

    Sammanfattning : Dagens samhälle står inför många utmaningar där energieffektivisering är en stor del för att nå Sveriges energipolitiska mål. Det finns anledning att effektivisera och optimera energianvändningen i Sveriges papper- och massaindustrier då de står för en stor andel av nationell energiförbrukning. LÄS MER

  7. 5. Comparing Quantum Annealing and Simulated Annealing when Solving the Graph Coloring Problem

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nora Odelius; Isak Reinholdsson; [2023]
    Nyckelord :Quantum Computing; Quantum Annealing; Simulated Annealing; Graph Coloring Problem; Kvantberäkningar; Quantum Annealing; Simulated Annealing; Graffärgningsproblemet;

    Sammanfattning : Quantum annealing (QA) is an optimization process in quantum computing similar to the probabilistic metaheuristic simulated annealing (SA). The QA process involves encoding an optimization problem into an energy landscape, which it then traverses in search for the point of minimal energy representing the global optimal state. LÄS MER