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.

Due to the interest of starting a preschool with a scout profile in my circle of acquaintances I chose to write my report about how the scout method would work in a preschool. I did this by comparing the origin of scouting and preschool. I based my report on the following questions:Are there any similarities or differences with curriculum, education act and the scout method that can make it easier/harder to work with the scout method in the preschool?There are many theorists that have had influence on the preschool. Give some examples of their theories that could affect the scout preschool?What is the difference between a teacher and a scout leader?What would a preschool look like if you included the scout method in the daily activity?With the help of my literature studies I compared the scout method against the laws and rules to make sure that the scout method doesn?t contradict them.

The purpose of this essay was to do a research about if the language in Swedish role-playing books is used correctly and if the composition along with the possible language errors makes the books hard to understand.This research was also about to find out why these problems occurs and if the authors are aware of them.I choose books from two Swedish role-playing games, Eon and Drakar och Demoner. I read them trough, noted the mistakes made and put them together in a scoring table. I also did a LIX-test on the books and interviewed one of the authors.The results shows that the books to Eon is harder to read than the books to Drakar och Demoner and this agrees with the vision the authors of the books claims to have.The results also shows that it is not only the language mistakes and the composition that makes the books hard to read, but also the choice of difficult words and badly formulated rules..

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 the following essay is to analyze how the Swedish regional policy has been influenced by the regional policy in the EU. The study builds on the theoretical framework that is Europeanization, the top-down approach, which stipulates where you can find evidence of this influence. To obtain the information that I needed to answer my question formulations, which main question formulation are; in which way has the EU regional policy influenced the Swedish regional policy? I used the method of literature analysis. Both the theoretical framework alongside the chosen method pointed me to analyze the public debate in Sweden in the regional question.

?Motivation is the desire within a person causing that person to act? (Mathis & Jackson, 2009, p. 24). Motivation is what makes people act. Lately a tool to create more motivation called Gamification has been more and more popular to use. This study is focusing on the subject motivation and also how gamification can be used as a tool to get more of that.

The purpose of this thesis is to investigate the status of Swedish real estate companies in terms of financial health and risk of financial distress. The background is the ongoing financial crisis, which partly can be derived from the American real estate sector. Publicly available accounting information from 16 listed real estate companies has been analyzed for a period of one year using financial ratios covering both the operational and financial activities. We find that the deceleration in the economy and in the real estate sector have forced the real estate companies to make large write downs, in line with the relatively new accounting rules, IFRS. Write downs are likely to reoccur during the following periods and real estate companies will therefore probably be forced to continue to show negative results.

The Energy Market Inspectorate is implementing a new tariff regulation in Sweden. A small part of the new regulation concerns effectible operation costs and originally they where intended to be calculated using a modification of equivalent comparison standards, in Swedish Ekm. This thesis is intended to analyze if Fortums grid in Stockholm could be described correctly, using equivalent comparison standards. In Ekm every part of the distribution grid is designated a weighting in relation to 1 km 0.4kV over head line. These Ekm-measurements are intended to simplify comparison between different grid areas with different structure and geographical conditions.

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.