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.

Vi har i denna studie beskrivit och förklarat vilka bakomliggande motiv multinationella företag har då de väljer att sponsra elitidrottsföreningar. Hypotesprövning visar att exponering -good citizen -personal och relationsmotivet, är motiv till varför svenska multinationella företag sponsrar elitidrottsföreningar.Vad gäller exponeringsmotivet har vi kommit fram till att svenska multinationella företag ser sponsringen som ett tillfälle att bli exponerade i olika medier i samband med exempelvis ishockeymatcher. Vår studie visar att då ett företag väljer att sponsra utifrån ett good citizen-motiv handlar detta om att de vill bidra med något till samhället utöver den företagsmässiga verksamheten. Multinationella företag vill uppfattas som en god samhällsmedborgare som stöttar föreningar med koppling till regionen. Vidare visar studien även att personalmotivet som motiv till sponsring beskriver att multinationella företag sponsrar idrottsföreningar eftersom företagen vill skapa en ökad sammanhållning inom sin egen personalstyrka genom att kunna erbjuda exempelvis matchbiljetter.

The end of the 20th century brought a dramatic change to the music industry. The then predominant models for music consumption and sales were forever altered when the possibility to distribute music over the internet emerged. It has now become evident that it is virtually impossible to stop the distribution of digital music files. Music has turned into a non-excludable and non-rival product, which in economic terms is described as a public good. Public goods theory serves as a starting point for this study, which explores some of the factors that might explain why some consumers pay for music, while others choose to download music illegally.

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 aim of this thesis was to investigate whether the selection of products in the school cafeterias in Uppsala county high schools' comply with NFA's (National Food Administration) recommendations. Furthermore, the intention was to examine pupils´ eating habits before and during the school day, and their views on the school cafeteria´s selection of products. To investigate this, an inventory of school cafeterias in six high schools in Uppsala County, and a survey among 60 pupils were carried out. The results showed that the NFA's recommendations not always were followed. The survey showed that there were healthy products in the cafeterias but unhealthy products nevertheless constituted a large part of the selection.

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.

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.

Aim: The aim of this study was to investigate nurses? experiences of communicating with patients with immigrant backgrounds regarding language barriers, patient relations and use of interpreter. Method: Eight persons participated in this study. Four registered midwives were interviewed in a focus group and one clinical lecturer with a district nursing background, one midwife and two district nurses were individually interviewed about their experiences. The content was analysed using a qualitative content analysis.

During the past twenty years, the Swedish school systems have slowly changed to becomemore and more performance-driven. Private schools have been growing in general and, likeindependent schools and schools managed by municipalities, they profile themselves. Schoolsare becoming more performance and result-oriented, which has changed the roles of teachersin a dramatic way and is in general, still changing.By profiling students based on theirindividual performance, schools are able to help students identify themselves and their owngoals. The process of profiling is a slow one in which some teachers adapt more quickly thanothers, and one that is critical for other teachers to learn in order to keep up with the demandsof society.Schools, like ordinary businesses, are in constant competition with each other to keep up withthe newest and greatest models of teaching and to rank among the best in high achievements.Perhaps the downside of this modern school structure is that it is often difficult to have aschool where both school management and teachers see eye to eye. School management must heavily focus on the school?s results as a whole.

AbstractHerbivores can be classified into either hiders or followers depending on their postpartum behaviour. The two behaviour types affect the spatial relationship between the mother and her infant. Goats are seen as hiders, although the environment plays a central role when it comes to the behaviour. Therefore, in the first part of this study the aim was to investigate how the goat kids? spatial relationship changed in the transition from indoor housing to pasture.

Festulolium (Festulolium) and tall fescue (Festuca arundinacea) has not been grown inSweden over a longer period. So far there is no greater area cultivated, but the area isincreasing. Festulolium and tall fescue are expected to eventually replace meadowfescue in many leyseed mixtures to dairy cows in southern and central Sweden. Tallfescue has in recent years become popular again. Festulolium is a hybrid betweenryegrass and fescue.