Hjem
Universitetet i Bergen
Optimering

Masterprosjekt

Hovedinnhold

Potensielle masteroppgaver

  1. Coming soon...

Fullførte masteroppgaver

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

    NORS Best Master Thesis 2021

    Jakob Kallestad, former master student at Heuristic Design Lab

    Til høyre: Sander ikledd dress holder en Power Point presentasjon. Til venstre: Et bilde av et diplom for beste presentasjon.

    Beste presentasjon på CGEE

    Sander ble ferdig med mastergraden sin for er par måneder siden. Denne helgen vant han pris for sin akademiske artikkel.

    Heuristic Design Lab (Universitetet i Bergen)

    Hvorfor optimering!

    Preben Bucher Johannessen (Master i Optimering)

    Fredrik

    Fredrik bruker informatikk til å kutte drivstoffbruket til store skip

    Værmeldinger har alltid vært viktige for planlegging av skipsfart. I masteroppgaven sin har Fredrik Åhgren Sørum laget en ny modell som skal hjelpe å minimere drivstoffbruk for skip som leverer offshore-utstyr fra Mongstad.

    Gunvor Lemvik

    Optimering av marin forsikringsmegling

    Gunvor Lemvik (Master i Optimering)

    Håkon I. Arvidsen

    Fornybar Energi og Optimering

    Håkon I. Arvidsen (Master i Optimering)

    13.03.2025