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- W601431344 abstract "This thesis concerns dynamic positioning, which is important in the shipping industry.Dynamic positioning uses thrusters to stabilize marine vessels horizontally, in contrastto the more traditionally used anchors. This is important because better dynamic positioningsolutions enable the use of vessels in rougher ocean conditions. We were providedwith model data to review, develop, and implement optimization algorithms suited forthe problem.There are several different results, each important in its own right. Solutions found bydifferent algorithms are contrasted to what is currently used, and it is shown that manystandard optimization algorithms find sub par solutions. The discontinuous nature of themodel data can be well approximated with a smooth function, using a Gaussian filter,on which the Augmented Lagrangian method can be used. The Augmented Lagrangianmethod is one of the algorithms with the highest convergence rates. Lastly, there is noguarantee that any solution found is close to a local optimum.The thesis concludes with a recommendation of algorithms that improve on the currentsolution. The main recommendation is to use the Augmented Lagrangian methodon the smooth approximation of the problem, starting from the solution found by currentlyused algorithms. Another recommendation is to further look into the branch andbound algorithm. The implementation of the branch and bound algorithm given in thisthesis is intractable, but possible improvements are suggested." @default.
- W601431344 created "2016-06-24" @default.
- W601431344 creator A5088967634 @default.
- W601431344 date "2015-01-01" @default.
- W601431344 modified "2023-09-27" @default.
- W601431344 title "Optimization of the Dynamic Positioning problem under unchanging weather conditions - How to remain stationary in stormy seas" @default.
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