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: Peripheral arterial disease (PAD), as a consequence of atherosclerosis in the arteria of the limbs, affects one of ten Swedes older than 65. PAD can develop slowly and silently, and involves an increased risk for cardiac infarction and stroke. Measurement of the patient´s ankle blood pressure and calculation of the ankle-brachial index is an evidence-based method to discover PAD. Objective: To investigate how district nurses and general practitioners perceive this method of examination and experience possible obstacles to why it is not more commonly applied at primary health care centres. Method: Data collected by semi-structured interviews have been processed by qualitative content analysis with a manifest onset.

The purpose of this study is to analyse how the local governments have implanted the new public health policy, which Sweden adopted in April 2003. The new health policy stakes out a new direction for national public health policy. Instead of focusing on diseases the new public health policy focus in factors that determine health.Important factors to study are the role of central steering from the central government. The method used is a case study of three Swedish local governments. The main material used is interviews and different policy documents within the area of public health.The conclusion of the study shows that the local governments are fairly satisfied with the steering of public health policy by the central government.

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 objective of this study was to investigate how the local newspaper readers felt about reading the local newspaper in a tablet device, such as the iPad. We wanted to study the attitudes from consumers towards tablets and if the traditional local newspaper can be substituted with a tablet device. We decided to use qualitative interviews as our method. The selection of respondents was based upon age, whether or not they had a subscription and if they owned a tablet device or not. We accomplished fifteen interviews with respondents living within the area where the newspapers of Barometern and Oskarshamnstidningen are spread. The study shows that the majority of the respondents who already had a subscription tended to lack interest in changing their traditional newspaper consumption. Their habits of reading the local news on paper were strong.

This essay inquires with the local authority´s rights versus obligations towards its members in agreement situations, where according to civil law compete with the according to public law.These situations become more and more common, since the public is often integrated in today´s trade and industery. Within this analyses there are statements made by HD about what is the applicable judgement concerning this complex area. HD´s different views and opinions have partly been critizesed by the auther..

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 essay is to examine how girls groups, particularly in school, can help girls with feelings of stress and pressure they can experience in their everyday life. We also want to examine how girls groups can be used, and explain why they should be held in school and not only in other organizations. The information we?ve gathered comes from books and websites that cover the subject. In addition to this, we?ve also handed out surveys and implemented interviews with both younger girls with girls groups experience, a teacher and a youth recreation leader. The theoretical aspect of this essay stems from two different theories: Labeling theory and Strain theory.

Local politicians are key actors in the democratic system and their ideas concerning democracy plays a central role in local democratic politics. The study's point of departure is the notion that local politicians are dependent of coherence between practice and theory concerning democracy and in the study of their ideas we acquire knowledge about the democratic practice.This study examines the local politicians? view of Swedish democracy and explores the logic of the discourse that makes statements concerning democracy possible. Twenty local politicians have been interviewed and from the material a discourse have been established through the use of formulation of problems and cause, nodal points and chains of analogy which is compared with democratic ideals.The study comes to the conclusion that a hegemonic discourse exists, in which central nodal points are representative and listening. The idea of the representative system is hegemonic and is based in the liberal democratic ideal although the view of the citizens rather can be traced to the radical, communitarian and deliberative ideal.

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.