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 paper is to investigate how well information and communication technology (ICT) is implemented in the new teacher training program in the subject of Swedish and how this is presented in the applications for examination licence to the National Swedish Agency for Higher Education. This is an interesting field of study, since ICT has been selected, by an investigation chosen by the government to be one of four overall perspectives that are supposed to permeate the teacher training program. There have been several difficulties involved in this project of which one has been the extent of the material.  27 applications and all curriculums in the subject of Swedish belonging to them have been examined. Another difficulty was that the applications and the curriculums are written by different persons under different conditions such as time and resources.

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.

Intramuscular injections to cats can generate strong reactions in some individuals while reactions of the same extent, according to the author, not always are recognized when using the subcutaneous route. The reactions are probably caused by fear, stress and/or pain. When the injection can generate pain one has to take that into account, which can be a limitation in treatment. It is well known that injections generate pain, but knowledge about the cause and processes of the injection-associated pain is limited. This is mainly due to the difficulty in finding objects to study pain on, high cost of use of laboratory animals and difficulty to obtain objective measurements. Although there is evidence that there may be a local muscle injury by intramuscular injection, it is not always that the extent of damage is related to the pain experienced. Facts about the causes of injection-associated pain have been studied in a literature review.

This thesis examines the extent to which segmentation and categorization in the context of direct marketing is an efficient way for a company to enhance its marketing effectiveness. The thesis is built on social identity and categorization theory, and tested by using statistical analysis. The conclusion is that segmentation and categorization is indeed an effective way of conducting marketing campaigns..

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.

In today?s computerized society more and more companies choose to utilize new applications that can ease the way of handling the information. For many of us is imperative that the process as efficient as possible if one takes in consideration the size of savings that this new application can bring.The developer of the evaluated system is SYSteam AB Huskvarna and they are the ones that gave us this assignment. The application that we evaluate is SCM (Secure Connection Manager). It is already used today by big companies such as Telia and Ericsson to search for errors in telephone servers placed all over the country.

In preparation for the autumn term in 2011, the Swedish elementary school adopted newsyllabuses regarding,inter alia, the civic education (Sw. Samhällskunskap). The civiceducation has traditionally been a disciplinary subject with a main purpose of mediatingdemocratic values as well as providing general orientation in the society. Generally, the civiceducation intends to reflect the world in which people live in, being a complex society whichto a large extent is regularly affected by global aspects and developments.The purpose of this study is to review all the elementary school?s syllabuses relating to thecivic education with specific focus on the globalisation perspective.

The purpose of this study has been to examine how customers, by interacting with each other, can communicate and create the image of a brand. We find this topic to be relevant since there are no previous studies conducted concerning the customers influence on the brand image. Our ambition has been to describe in what ways and to what extent the customer can affect and influence the brand image by communicating with other customers. To fulfill our purposed we have targeted three important questions which are:? In which ways can the customer affect the communicated image of a brand?? To what extent can the customer influence the brand image and the perceived value?? Who has control over the brand, the customer or the company?For this study we have used a qualitative approach in which we have conducted eight personal interviews with brand consultants and the editor of the magazine Dagens Media which has given us the foundation for our analysis.

This essay takes its starting point in the research on digital technology and theories on learning to apply the research on history teaching. The theories on learning from Illeris and Selander are used to find out how the digital technology should be used in upper secondary school, since there is no extensive research on how the new technology should be used in upper secondary school. From that point the essay?s primary goal is to investigate how teachers use digital technology, if they choose a particular study field while working with the technology. Furthermore it investigates whether or not the technology is an appropriate mode of operation when developing abilities such as historical consciousness and historical empathy.

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.

During the last ten- fifteen years the Eurasian lynx (Lynx lynx) population in southern Sweden has increased considerably. This area has a high density of both people and roads and have a higher roe deer (main prey of lynx) density than the rest of the country. Movement patterns such as how long animals utilize their kills and how far they travel from their kills between revisits is unknown for lynx in southern Sweden. The aim of this study was to examine how different factors affected the time lynx used their kills and the distances they travelled from the kill between revisits. The data was prepared and calculated using ArcGIS and the study is based on 98 ungulate kills and 12 lynx individuals.

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.