The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

AbstractTitel: Hjälpen till ett drogfritt liv- En kvalitativ studie om återfall och återfallsprevention.Writers: Jonna Håkansson och Louise Hag.Keywords: Abuse, addiction, relapse, relapse prevention.   Abuse is a major problem and leads to negative consequences for the individual, such as illness, criminality and death. It?s also a big problem in the society, because the most common crimes are drug-related and the consequences lead to high economic costs. In order to overcome an addiction, treatment is often required.

In September 2014 the ECJ issued its decision in C-7/13 the Skandia case. The case con- cerned service transactions made between a main establishment in a third country and its Swedish branch. The branch was a member of a VAT group in Sweden. The ECJ estab- lished that the membership resulted in that the VAT group was considered as one taxable person which meant that the services was considered provided to the group itself and not the separate member. Therefore the transactions were deemed taxable.

The main aim of this master thesis was to see the process of an interactive online reference service from idea to final product. The reference service we have studied is developed and used by the Library of the National Institute for Working Life in Stockholm, Sweden and goes by the name phibi. Our goal was to review the whole realization process from the reasons why a service like this was created, how the service was introduced and Implemented inside the organisation and finally what the result and consequences were for both the library staff and for the users of the service. Phibi is designed to be a tool that fosters communication between the library staff and the remote users where the users get the opportunity to be helped with their questions by the library staff although they are not physically present in the library. To understand the process we conducted a case study with 11 interviews of the library staff, the superior and the initiator to phibi.

The division of Electricity at Uppsala University is developing a wave energy converter(WEC) consisting of a linear generator connected to a bouy at the water surfacethrough a wire cable called the connection line.During extreme conditions, the wave power plant will experience forces up to 500kN, which lead to unnecessary wear and will ultimately cause the failure of theconverter. To prevent this there is a need for a damper.The wave energy converter works at a maximum efficiency when the translator?sare centered with respect to the stator. Due to tidal movements the position of thetranslator can deviate. There for a mechanical divice that will compensate for this isneeded.This report describes the further development of an earlier project where a tidalwave compensator for a wave energy converter of Seabased AB was developed.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

Denna studies syfte är att se på rörlighet på arbetsmarknaden utifrån ett individperspektiv och hur vägledning kan vara till stöd på individnivå. De frågeställningar arbetet behandlar innefattar sju individers erfarenheter av arbete,vägledning och utbildning. Utifrån dessa faktorer behandlar vi teorier kring rörlighet och matchning till arbetsmarknaden. Vi har genomfört en litteraturstudie i kombination med en empirisk undersökning med sju kvalitativa intervjuer. De slutsatser vi drar är att vägledning kan påverka individers rörlighet på arbetsmarknaden och att vägledning kan bidra till att individer matchas till utbildning och arbete.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be Implemented for MSA.

Background:A trauma is a potential life threatening state which demands special resources and optimal care. Trauma doesn't just mean physical violence against the body, it can also put the patient in a psychological crisis. The trauma care in the emergency department is a short and intensive assessment between the patient and the emergency staff, where there is a risk that the patient may feel exposed and uncomfortable. For the nurse to be able to provide security and meet the patients' needs of well-being during the trauma care, the nurse has to try to understand the patients' needs and experiences. Aim: The aim of this study was to illuminate the patient's experiences during trauma care in the emergency department.