This essay deals with the principle of surprise warfare and its development as well as the adaptation of military action that had to be made to surprise the opponent in the modern era.The concept of surprise is divided into its components in order to clarify what is required to implement a surprising maneuver, to understand the complex concept and form a theoretical framework for gathering facts in the case study.Development and adaption are demonstrated by a comparative case study where Pearl Harbor illustrates an example of historical surprise and Operation Desert Storm illustrates a modern surprise. The product will then be analyzed in order to detect the development and how military conduct is forced to adapt in order to carry out a surprising maneuver. The results shows that the military action of performing a surprise attack has had a major development and is now carried out in a different stage of the attack..

The electric vehicle market has potential to contribute to Sweden?s national goal to have a fossil fuel independent transport sector by 2030. However, the market answers to a lot of challenges making it difficult for the market to fully reach its potential. The volume of electric vehicles has seen a steady increase during the last year (2012), although many of these vehicles are mostly for PR purposes or bought by the public sector that wants to lead by example. Still, barriers in the form of high purchase costs, an anxiety for the limited battery capacity and the lack of standardisation are some of the problems that the market is struggling to solve.

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 study examines risk perception and crisis preparedness among personnel at high-schools. The focus is set on teachers and leaders at four high-schools in Örebro municipality, Sweden. The purpose of the study is to examine crisis preparedness and identify factors which influences risk perception and crisis preparedness. The survey consisted of a questionnaire which was completed by 95 respondents. The results show that better information about the crisis preparedness in the schools is needed.

Because society?s demand for quality, efficiency at low cost is constantly increasing, companies are increasingly choosing to invest new methods to achieve these points. Those who manage to find ways to improve their processes are often the companies that have the greatest chance of becoming a winning player in the market. BIM is a new method that can reduce the internal costs while increasing communications between different parties. However there is disagreement about what BIM is and its purpose.

We studied the understanding of public librarians of the required qualifications for a public librarian, what these qualifications embody and how they should be used, and if there are any differences between geographic regions. We also compared our results to the Library Code, which describes the responsibilities of the public libraries. To complete our study, we interviewed fourteen public librarians at eight different public libraries located in both urban and rural areas in Sweden. Our results showed that even though the qualifications specified by the Library Code were identical, they were emphasized and used differently by the public libraries included in our study. This illustrates that the public libraries prioritize and focus differently on the various aspects of the Library Code.

With a growing population on earth the amount of end-of-life vehicles (ELVs) and other scrap steel increases. The European Directive 2000/53/CE? requires a minimum of 95 % reuse and recovery and 85 % re-use and recycling no later than 1 January 2015, for end-of life vehicles. This imposes a need for more efficient recycling and recovery. Despite this shredder residue (SR) is commonly land filled.This report investigated the magnetic fines residue generated at Stena Metall shredder facility in Halmstad, Sweden.

The way society categorize different people into groups is problematic in the sense that the categorization can seem stigmatizing and have social consequences for those being categorized. Immigrants are one of those problematic categories.The following essay studies this categorization of ?immigrants? based on a governmental investigation of structural discrimination that took place in 2002-2008. The aim is to study the use of the category ?immigrant? and the consequences that follows such a categorization.

This study focuses on single peoples construction of their lifes in relation to normative heterosexual coupledom. It is based on five interviews made with single women and men at the age of 24 to 51 who live by themselves. The queer theory which puts the heteronormativity in question is used as a theoretical framework. Discourse psychology functions as an analytic approach. It focuses on the use of language in the construction of reality in a world of determinant discourses.

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.