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.

With the rise of the internet especially and information- and communication technology in general, the opportunities for fast and effective communication and sharing of information have proliferated. In relation to the new technologies, the citizens? demands on organizations? communicative efforts have increased. Today?s citizens have high standards regarding transparency, the opportunity to dialogue and have hopes to influence the public sector.

The problem being examined is the disturbing noise that is created in an open plan office on a company working with a creative process, such as a newspaper or a communications agency. The purpose of this study was to examine the needs for today for a sound absorber in open offices and create and design a design proposal. The aim is also to develop a marketing material the product proposal. The problem has been broken down into the following questions:- How does the user look at the need of a sound absorber in an open offices solution today?- Does an interior designer apply sound absorbers when they furnish the intended environment? - How can a design that meets the needs that exists be achieved and to speak the user?The study is based on three choice of methods a literature review on selected topics that relate to the topic, an interview with an interior designer to explore how an interior designer applies absorbers in open plan office and finally an extensive survey that treats the user's needs and appropriate appearance for the product proposal.The design process has undertaken the following methods, design brief, requirements specification, functional analysis and sketches to produce the final product proposal.

The purpose of this study is to find out how the teachers in preschool work with mathematics. How educators working to promote children's mathematics learning and how educators visualize math work. How they plan, implement and document the work of mathematics. I also want to find out how legal guardians perceive their children's mathematics learning in preschool.I have chosen to do interviews with the educators and survey legal guardians to make visible the work of mathematics in kindergarten. I interviewed six teachers who work at both younger and older children department.

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.

The purpose of this study is to examine how risk is perceived by the urban architect's in the region Dalarna, as well as how this is reflected in their everyday work with risk and decision- making according to urban planning. The ambition is also to show how their risk awareness could be improved. The study is written in cooperation with Länsstyrelsen Dalarna as a part of their regional long-term goal to improve the region's proactive risk' and crisis management. The study is based upon 12 semi-structured interviews with local urban architects conducted during the summer and autumn 2007. The result shows that some architects are motivated for working with risk and think that risk awareness should be integrated in their everyday work, while others are not motivated and think that risk is more of a passing trend.

White- and blue collar workers traditionally belong to different unions and, therefore, are covered by different collective agreements. Collective agreements for different employee categories create internal divisions, which mean that white collar workers are not obliged to do work that falls under a blue collar agreement and reversed. Historically the difference between white- and blue collar work has been fairly sharp and so has the difference between collective agreements. Due to the continuous development of technology white- and blue collar work within production has become less clear. This has resulted in an increasing amount of disagreements regarding what collective agreement should apply and whether the employee is obliged to perform different work tasks.

On December 20, 2001, the Swedish citizen Mehdi Ghezali was captured on the border between Afghanistan and Pakistan. Ghezali spent the following 930 days in U.S. captivity, without being charged with any crime. My aim in this essay is to analyze how Ghezali was portrayed in three Swedish newspapers under and after his captivity, two nationwide and one local newspaper based in Ghezali's hometown. My purpose is to see whether Ghezali's identity is constructed differently in the three newspapers, as regards The Other, Stereotypization, etc.

AbstractThe purpose of this research is to examine which methods the municipality of Örebro recommends its schools to use in their work against mobbing and bad treatment, and to see if the school investigated follows these guidelines. By means of interviews I will examine which methods the Group for Equal Treatment at the school has found effective when dealing with these issues. My conclusions are that the municipality of Örebro clearly states what is important for the schools to work with, and a lot of effort has been put into creating a common model for all schools to use, in order to fulfill the goals of the law (2006:67) which forbids discrimination and any other kind of bad treatment of children and students. The school investigated follows the municipality guidelines to great extent. Early on the Group for Equal Treatment, including both principals, teachers and students, worked out a detailed plan for equal treatment. The Group for Equal Treatment mentioned some successful methods to use against mobbing and other forms of bad treatment. One of these methods is the annual theme week where the students get to participate in outlining the contents. Another success factor is to establish a good atmosphere between teachers and students, which is possible only if the teachers have time and opportunity to get to know their students. My examination shows that it is important to have a well thought-out plan to follow, but it must be adjusted to the needs and preconditions of the school in question..

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.