En av huvuddelarna i manöverkrigföringen, som Försvarsmakten nyttjar, är indirekt och direkt metod. Men då Sverige inte har varit i krig på väldigt länge så beslöt jag att skriva denna uppsats i syfte att skapa ett underlag för en ökad förståelse för nyttjandet av indirekt och direkt metod vid manöverkrigföring. För att göra detta så försökte jag svara på följande fråga:Hur ser fördelningen mellan indirekt och direkt metod ut vid flyginsatser i krig under 1990-talet?För att få ett svar på frågan så gjorde jag en fallstudie på Operation Desert Storm där jag först analyserade vilken metod de allierade styrkorna använde mot de olika anfallsmålen. Efter detta gjorde jag en undersökning i hur många anfall och uppdrag som genomfördes mot varje mål.

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 aim of this study was to examine ways in which High School Students approach academic writing. Both discursive and critical-analytical levels in 21 PM-texts and 14 investigating literary essays were analyzed through a genre theoretical and sociocultural framework in order to widen the understanding of students? usage of explicit textual and interpersonal markers as well as their techniques of writing abstracts. The results showed that nearly 25 percent of the putative abstracts consisted of sampled and reshaped text sequences. The majority of these were on the other hand results of a creative process in which the students reshaped utterances from different sources.

Abstract The amount of evil that we can see in our world might make the thought of a kind and caring God as its creator paradoxical. This is what is generally called the problem of evil and the topic of this study. This is a litterary study which is based on qualitative analysis and hermeneutics as our method. We have chosen to research this problem with the emphasis on two different theodices. One of these theodices is written by John Hick and the other by C.S Lewis.

Internal communication exists in all organizations and is ongoing. It is of great importanceto communicate effectively when deficiencies can have serious consequences. The tsunamithat swept over South East Asia's coast in 2004 is indicative of this. At that time the consequenceswere loss of efficiency and productivity of businesses, health care, police and themilitary. All because of the lack of information.Employees in an organization take many decisions that affect the entire organization.

With this essay we want to describe the transformation process that the real estate owner has to go through to sell the current rented flats to tenant. We also want to provide an understanding how the valuation is performed in the transformation process and highlight the issues that affects the price in the valuations. In the essay we would like to see if the valuation and the transformation process differ in a public real estate company compared to a private real estate company. Based on this we have asked us the following question to answer: -Is there any differences in how real estate?s are valued in the transformation process between public real estate companies and private real estate companies? We have used a qualitative approach to keep our main question.

Emmanuel Lévinas is one of the great ethics in the 20th century. His contribution to the philosophical discourse defies our thinking and behavior in a revolutionary way. He dismisses every categorization, every tematization, every moral based on an analytical reflection and compels us with an ethics that demands us not only to think, but to act and be responsible. The 21st century?s emphasis of the individual, globalization, plurality and the questioning of authorities has created new challenges for the individual who sees herself as the nave of morality.

The purpose of this study was to examine how Swedish high school students view school staff members, in general, but in particular school counselors. The research questions focused on getting the students descriptions of the staff members roles and functions within the school. The study was conducted using focus group interviews. The answers were divided into themes and then analyzed using role theory and previous research. The results showed that the students relationships with family, friends and previous knowledge about the staff members in school, affects their willingness to seek the support of school staff members.

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.

Truancy is a problem in the Swedish schools today, just as well as in other European and other developed countries where educataion is gratuitous. Teachers all over Sweden go to classes with a clear and well-planned schedule for the day. But some are unable to do their work because of asent students. In this study I have chosen to focus on the perspective of the youths and the main question is: how do students discuss and think about truancy. During the study I have chosen a qualitative approach and have therefore done observation in various classes in a Swedish senior high school in a suburb outside Stockholm during twelve weeks.

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.