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Fullførte masteroppgaver
- Deep reinforcement learning hyperheuristic framework to solve Location Routing Problem for offshore windfarms, Christopher helland, 2024
- Hyperheuristic Frameworks for Combinatorial Optimization Problems using Deep Reinforcement Learning, Akilavan Sivakumaran, 2024
- Utilizing energy storage and production to reduce electricity costs at Luka Koper, Jostein Helstrup Hindenes, 2024
- Optimization Models for Wake Mitigation in Floating Offshore Wind Farms, Terese Espeland, 2024
- Optimization of Inter-Array Cable Layouts in Offshore Wind Farms Considering Reliability, Ingrid Øgreid, 2024
- Optimization Model for Installation Logistic of Offshore Wind Farms, Mari Emilie Lima Nygård, 2024
- A Short-Term Optimization Model for Routing and Scheduling of Maintenance on Offshore Wind Farms, Eirin Marie Saure Syvertsen, 2024
- Production optimization for a subsea system with booster pump, Emilie Heitmann, 2024
- Smart operations for low-emission maintenance vessels at offshore wind farms, Rune Tycho Tønnessen, 2024
- Bounding Algorithms for the Minimum Broadcast Time Problem, Bendik Sperrevik, 2024
- Model Predictive Control for Hybrid Energy Systems, Sondre Ekkje Kaavik, 2024
- Optimization in Machine Learning, Marius Hobrad Naasen, 2024
- Optimization of Offshore Inter-Array Cable Layout Problem using Metaheuristic Approach, Sonja Belen Ortega Cortes, 2024
- Wastewater Pipe Routing For Onshore Fish Farms, Åsmund Lyngve Vingen Sunde, 2024
- A Matheuristic Algorithm for an Offshore Multi-period Location Routing Problem, Simen Tørseth, 2024
- Optimization of routes for electric crew transfer vessels - A heuristic approach, Simon Floen Husebø, 2024
- Developing a Deep Reinforcement Learning Framework For Aggregators In The Norwegian Reserve Markets, Sander Meland, 2024
- Simheuristic Approach to the Ship Routing and Scheduling Problem with Stochastic Travel Times, Henning Dahl, 2024
- Balancing the Game: Comparative Analysis of Single Heuristics and Adaptive Heuristic Approaches for Sports Scheduling Problem, Erfan Alesahebfosoul, 2023
- Optimal location of charging stations for electric vehicles, Håkon Blågestad, 2023
- DRLMA: An Intelligent Move Acceptance for Combinatorial Optimization Problems based on Deep Reinforcement Learning, Eskil Hamre Isaksen, 2023
- Optimizing Feeder Network Design with Deep Reinforcement Learning: A Hyperheuristic Approach, Fredrik Nestvold Larsen, 2023
- A Deep Reinforcement Learning - based Hyperheuristic for the Flexible Traveling Repairman Problem with Drones, Vegard Øverland Birkenes, 2023
- SmartSwarm - A Multi-Agent Reinforcement Learning based Particle Swarm Optimization Algorithm, Herman Mostein, 2023
- A heuristic algorithm for time-dependent speed optimization of supply vessels, Vilde Steinsland, 2023
- Incorporating Weather Impacts in Vessel Routing and Speed Optimization through Hydrodynamic Modelling: A Heuristic Approach, Fredrik Åhgren Sørum, 2023
- Reinforcement Learning for Lifelong Multi-Agent Pathfinding in AutoStore System, Elias Ivarssønn Djupesland, 2023
- On Derivative-Free Optimization Methods, Pim Thomas Heeman, 2023
- An Optimization Model for Short-Term Routing and Scheduling of Offshore Wind Maintenance, Aksel Håland Laugaland, 2023
- Hydropower production scheduling at Tøsse power plant, Benjamin Kjøpstad Kofoed, 2023
- Stochastic Optimization of Battery Storage: An Analysis of its Potential, Runar Skorge Stranden, 2023
- Metaheuristics for optimizing layouts in land-based fish farms, Erlend Strand, 2023
- A new parallel adaptive heuristic for combinatorial optimization problems, Håvar Andre Melheim Salbu, 2022
- Optimizing the layout of land-based fish farms, Gunnar Tjensvold, 2022
- An Adaptive Heuristic for a Feeder Network with Optional Transshipment, Morten Bergmann, 2022
- Optimum configuration and operation of a hybrid fuel cell/battery marine propulsion power plant, Caroline Therese Einarsen, 2022
- Short-term hydropower scheduling at watercourses with flooding risks, Tormod Bjelland Litlabø, 2022
- Optimizing maintenance plans of offshore wind farms by calculating the likelihood of future turbine failures, Une Amalie Tjøm, 2022
- Optimizing storage of fish feed, Rune Reimertz, 2021
- A General Deep Reinforcement Learning Hyperheuristic Framework for Solving Combinatorial Optimization Problems, Jakob Kallestad, 2021
- A 4th Party Logistics Problem Optimizer, Preben Bucher Johannessen, 2020
- Machine learning methods for preference aggregation, Hanna Kujawska, 2019
- Optimizing marine insurance brokerage, Gunvor Lemvik, 2019
- Hydropower production scheduling using stochastic dual dynamic programming subject to environmental constraints, Håkon I. Arvidsen, 2019
- Stochastic optimization models for offshore wind farm maintenance, Emmanuel Okoye, 2019
- Optimization of the Offshore Wind Inter-Array Cable Layout problem using Heuristic based Algorithms, Sunney Fotedar, 2018
- Strategic optimization of offshore wind farm installation, Stian Backe, 2017
- Exact methods for solving the small scale single vehicle pickup and delivery problem with time windows, Yacine Lakel, 2016
- Wind Farm Layout Optimization - A case study on maximizing the annual energy production in Creyke Beck B, Eirin Mæland Fjellanger, 2016
- Fast method for maximum-flow problem with minimum lot sizes, Vithya Ganeshan, 2015
- The index tracking problem with a limit on the portfolio size, Purity Mutunge, 2014
- Fast methods to solve the pooling problem, Anisha Kejriwal, 2014
- Substation Location in Offshore Wind Farms - A Planar Multi-Facility Location-Routing Problem, Thomas Amland, 2014
- Fast Solver of Closely Related Quadratic Programming Problems, Andreas Halle, 2013
- Optimizing the design of a floating wind turbine, Surbhi, 2012
- Optimization models for turbine location in wind farms, Jan Kristian Haugland, 2012
- Modelling migration patterns of fish using depth and temperature preferences, Erik Natvig, 2012
- Solving system of nonlinear equations using methods in the Halley class, Sara Tagelsir Mohamed Suleiman , 2009
- Automatic Differentiation of Third Order Derivatives using Forward Mode in C++, Torbjørn Lium, 2009
- A matrix-free method for regularisation with unrestricted variables, Bjørn Harald Fotland, 2008
- Improving Efficiency in Parameter Estimation Using the Hamiltonian Monte Carlo Algorithm, Mohammed Ali Albashir Alfaki, 2008
- Optimal gasstransport i rørledningsnettverk, Frode Lidal, 2008
- Grafpartisjonering med GRIBB, Brage Breivik, 2006
- Heuristikker for Traveling Salesman Problem ved dekomponering av kostmatrisen, Espen Skippervik Sætre, 2006
- Solving the Traveling Salesman Problem with GRIBB, Andreas Angerman, 2005
- Comparing methods for dictionary-based representation of images and video, Øyvind Listou, 2004
- Frame based heuristics for signal representation, Lars Berntsen, 2004
- En visuell tilnærming til simulering av købaserte modeller i Java, Morten Johannes Ervik, 2004
- Heuristics for a Stochastic Vehicle Routing Problem, Lars Magnus Hvattum, 2003
- Preprocessing of large scale linear systems, Bernt Asbjørn Omland, 2003
- Heuristics for the Set Partitioning Problem, Christian Berg, 2003
- Metoder for direkte volumvisualisering av to overlappende volumer i sanntid, Frode Røsjø,2003.
- Sanntids 3D urbanmodellering, Bjørn Gisle Hodneland, 2003.
- Optimal adjustment of surfaces to points in three-dimensional space, Ole Kåre Endresen, 2003
- Discrete event simulation in Java with applications in rodent navigation, Ørjan Bergmann, 2002
- Inexact Solution of the Schur Complement Equation in a Primal-Dual Interior-Point Method for Semidefinite Programming, Lennart Frimannslund, 2002
- The use of Java Arrays in matrix computation, Geir Gundersen, 2002
- Ein modell for ressurstildeling i stokastisk prosjektplanlegging, Ingrid Honve, 2002
- Optimal and Heuristic Solutions in the Transhipment Problem, Lars Magne Nonås, 2002
- Automatic Differentiation in Java, Rune Skjelvik 2001,
- Event-related functional Magnetic Resonance Imaging (fMRI) of the brain: Models and estimation of the Haemodynamic BOLD response, Inger Helen Khateeb, 2001
- Visualisation with database connectivity through a network-aware environment, Jannike Utheim, 2000
- Solving Vehicle Routing Problems using Lasso Solutions, Nils Tjøstheim, 1999
- Visualization and manipulation of small scale archaeological artefacts, Tom Bech, 1999
- Three dimensional image restoration of magnetic resonance (MRI) head volumes, Bjørn Hamre, 1998
- Forenklet pålogging til Telenors interne dataressurser, Eva-Cecilie Lossius, 1998
- Utvikling av prediksjonsmodeller ved hjelp av heuristisk søk, Arild Hoff, 1998
- Three dimensional visualization of structural and functional magnetic resonance imaging data from the human brain, Pål Magne Hisdal, 1998
- Monitoring and visulaization of distributed systems, Demissie Bediye Aredo, 1998
- Primal dual interior point method using an iterative solver for the linear system, Venansius Baryamureeba, 1996
- Konvergens av en iterative løser av LCP, Gøran Espeland, 1996
- Refitting og reversert refitting av flintstein, Jostein Sætherø, 1995
- Asynchronous solution of linear least squares problem using generalized group iterative methods, Yasemin Yalçinkaya, 1995
- Datafitting problem, Wenli Wang, 1994
- Software for estimating sparse Jacobian matrix by row and column partitioning, Jian Da, 1994
- Trunkert indre punkt metoder for lineære optimeringsproblemer, Erik Spildo, 1994
- Mathematical programming in capital budgeting, Reidun Helming, 1994
- Aggregering av lineære problemer, Sigrid Lise Nonås, 1993
- Kurvetilpasning med interaktiv datagrafikk og preferanseoptimering, Lars Magnus Nordeide, 1993
- Estimation of sparse Jacobian matrices by using row and column partitioning and the graph coloring approach, Shahadat A. K. M. Hossain, 1992
- Improving bounds for the expected duration in probabilistic activity networks using hypercube multiprocessors, Nils Jacob Berland, 1990
Attestar frå tidlegare studentar:
13.03.2025