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.

Currently there is a tendency in the EU to adjust the minimum-capital requirement. In France and Germany the requirement for private limited liabilities has been totally abolished, whilst other countries have chosen to reduce their requirement. The Swedish law concerning the minimum-capital requirement is from 1st of April 2010 being lowered to 50 000 SEK. In common law jurisdictions such as United Kingdom and USA a minimum-capital requirement does not exist. The european main argument to keep such a requirement is that it accomplishes a creditor protection.

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 was to explore the state of female prostitution in the city of Tehran, and besides, analyze the elements that can lead women to harlotry in Iran. This research is based on three sources of information: firstly, interviews with three harlots in Tehran and I got help of a semi-structured interview guide. Secondly, I discussed prostitution with conscious resources that worked within the public services in Tehran and had experienced of working with female prostitutes. Thirdly I analyzed texts and reports about prostitution in Iran. The data from interviews are tied to two theories: symbolic interactionism and feminism.

Essay in political science, C-level by Mikael GranathAutumn semester 2012, Tutor: Freddy Kjellström- Ideological convergence in Swedish party politics?- An analysis of ideologies of the Swedish Social Democratic party and the Swedish Moderateparty and their healthcare and health service policies between the years of 2002 and 2010.The main purpose of this study is to examine the truthfulness in the common perception thatthe Swedish moderate party and the Swedish social democratic party are increasingly sharingthe same political views - particularly between the years of 2002 and 2010. The main researchquestion is:?Did the Swedish Moderate party and the Swedish Social Democratic partyideologically position themselves closer in the year of 2002 than they did in 2010within the health care policy area?The research design chosen for this study can be labelled as a comparative case study wherethe two political parties party programs and election manifestos that were current in the yearof 2002 and 2010 are studied. This is done to give a better view of ideological change.

Through geopolitical theory this thesis explores how conflicts within states can be read and understood according to an analytical model determining one or several possible causes for the conflict.  The model is created by the author and reflects geopolitical theory by giving three possible explanations to an intrastate conflict: culture, economy or territorial construction. The aim of the thesis is testing this model on two selectively chosen case studies ? i.e. two intrastate conflicts ? namely: the upcoming referendum in Scotland and the terror attack at Tiananmen Square in China.

The purpose of this study is to explore how different discourses about risk linked to HIV prevention is likely to affect the decisions on the distribution of state funding for preventive activities aimed at 'men who have sex with men' (MSM). This by making qualitative interviews with principals that have an impact on this decision. Using a discourse analytic approach, based on both theoretical and methodological foundations, I investigate the discursive constructions of risk of HIV linked to certain groups and behaviors. MSM is found in the material placed into two different formations of groups, on one hand by the behavior on the other hand on the basis of identity. The identity position is organized discursively from a ?victim? position while MSM provides an "operator" position.

The aim of this study is to examine how students and teachers experience full class lectures in contrast to working individually in mathematics education. Furthermore, the study explores how different ideas of individualization influence the teaching practice.The investigation uses qualitative interviews and the survey analysis is based on the phenomenographic method. The interviews took place in two senior level compulsory schools and both teachers and students were interviewed. The ambition has been to explore the teachers? perspectives regarding their choice of method in the teaching of mathematics.

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.