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.

A variety of demands have to be considered in the design of a new opera house in Galärvarvet. All possible viewpoints are important to be aware of, as is the need for the new building to be a contrast to the already existing opera house in Stockholm. The restricted site also makes a multitude of demands on the building's design.By rationalizing the layout and structure and also by making the footprint smaller, the complex building of over 30 000 square meters can be fitted and blended into the existing physical context. Unlike the existing opera house in Stockholm, the new opera house shows the rationality and the advanced technology that lies behind the scenes and becomes the character of the entire building. Through the dynamic façade, the new opera can convey any character it so desires, just like scenes do through different settings.

Syftet med arbetet är en fördjupning i och undersökning av filmens potential som didaktisk redskap i gymnasieskolans svenskundervisning och i vilken utsträckning mediet används. Multimodal teoribildning har studerats och en extensiv litteraturgenomgång genomförts för att identifiera möjliga användningsområden för film. Kvalitativa intervjuer med lärare som är verksamma i svenskämnet i gymnasieskolan idag har utförts. Det huvudsakliga resultatet från studien belyser att lärare är positivt inställda till att använda film i sin undervisning och gör det till viss del, men att det behövs mer vägledning och struktur runt både konsumtion och produktion av film för att lärarna ska kunna nyttja dess fulla multimodala och didaktiska potential i klassrummet..

During the spring of 2013 we developed a visual identity for Jönköping Bandy, a bandy association in Jönköping, which was founded in 1947.Jönköping Bandy?s main problem was the low interest for the association by the local people. The association also had problems with the economy, which made it hard for them to merchandise themselves.In Jönköping, there were a lot of sport associations, and therefore, it was difficult to find sponsors. One way to help the association, was to create a good visual identity for them. A visual identity that would reflect on the proper values of the association.The intention was: ?Through graphical design, we want to convey Jönköping Bandy to a larger amount of people, and get increased knowledge in graphical idiom.? and was torn apart into these three questions:What core values does Jönköping Bandy have, and how can we convey them through the visual identity?Which visual materials does Jönköping Bandy need?How do other teams in Allsvenskan Södra merchandise themselves through their websites?The work began with a study of relevant theoretical literature, with focus on graphical design.

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.

Employers are becoming more and more aware of that the internal communication between employees is the reason why organizations are being held alive and also what impact the office environment has on employees work performances and their communication. The aim of our study was to gain an understanding of what significance an office's spatial design has for the communication between employees and managers in the workplace. We have through qualitative interviews with managers and employees from different business cases gotten a perception of their ways of communicating with each other. The results showed that employees and leaders thought that they shared the same picture of what their communication was like in reality, how they thought their ways of marking their territory in the office was understood and respected and what their opinions and expectations of how the communication between them and their leaders should be like. These results were then analyzed in consideration with relevant theory and previous research in the disciplines of office environment and communication studies.The main conclusions that have been drawn from the analysis are that the work environment's design can be both positive and negative at the same time and that what should be focused on is the leaders' communication. The leaders and their employees have to communicate more about their communication between them so thart misunderstandings can be avoided in the office environment - and therefore become more effective..

The aim of this thesis is to make a contribution to the field of design oriented theory, regarding young children and their way to digital competence. My research question is: How can a preschool with a certain pedagogical ICT-design give the children affordances for media play and for developing a digital competence?The European Parliament points out digital literacy as one of the Key Competences for life long learning. A digital competence is built on basic ICT (Information and Communication technology) skills. Skills you can develop any time during life, weather you are young or old.

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.