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.

Since 1 January 2010 it is a requirement to use the European standards, Eurocodes, in Sweden when constructing bridges. One chapter that has caused an extra amount of problems for the engineers is the one about fatigue analysis, which resulted in us doing this thesis.To do this we had to read all of the Eurocodes that direct, or indirect deals with fatigue and calculating of such. We have read the background documents for the Eurocodes and master?s thesis in the subject. We also studied the calculations of bridges constructed by different construction firms.We have chosen to limit the thesis to discuss only road bridges made of concrete due to the lack of method for verification of concrete in the national appendix.

The change in course recently taken by the Swedish Armed Forces results in an increased use of equipment, and thereby increased requirements of preventive maintenance. This paper aims to examine the current responsibilities for preventive maintenance in an army unit. The intended effect of this examination is to disclose possible flaws, and to help make routines for preventive maintenance more effective.The questions asked in this paper are;Who, in an army unit, is responsible for the routine maintenance?When is this responsibility valid?What demands does the technical service have on responsibilities for the routine maintenance?How are these demands met?How ought to be responsible for the routine maintenance?To answer these questions the author has chosen to use a descriptive method to show the current facts. A theorizing method is chosen to, from described facts, clarify the demands of the technical service on routine maintenance.

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.

Det här examensarbetet behandlar Suzukipedagogiken och barns upplevelser av föräldrars aktiva stöd och engagemang när deras barn lär sig spela ett musikinstrument. Undervisningsmetoden bygger på interaktionen mellan elev, förälder och lärare, vilket utgör Suzukipedagogikens hörnstenar. För examensarbetets utförande valde jag ut fyra informanter, utifrån kriteriet att de skulle ha haft minst en förälder som utövar musik som amatör eller professionellt. Vidare skulle två informanter ha undervisats på ett sätt med anknytning till Suzukipedagogiken, och de andra två skulle ha undervistats inom ramen för traditionell instrumentalundervisning. Motiveringen till urvalet var att därmed kunna jämföra informanterna mot deras olika bakgrunder av undervisningsmetoder.

THE THIN RED LINE ? Identity in theory and method With this essay I want to explore some possibilities with the term identity within archaeology. Identity is a term best understood in the light of different scientific approaches. For instance the anthropological and historical angel combined with the quality of archaeology, as is the case in this essay. By combining these approaches, I create a (clarification) method of exploring traces of identity.By analysing two different graves from Scania, having a negligible number of artefacts from the Viking Age, and three graves from Bornholm, known for its large number of finds from this period, I test the ability of my method.

Often, the green is handled as an opposite to the built, but if it could be seen as a part of the built and the society, the planning will be easier to handle. The thesis work wants to create a method that treats villages in an analytic way in a context; with green, blur, grey and all the other colors that together are the completeness.This master's thesis is made to be used as foundation in detail plannng in the municipality of Örkelljunga. Target audience is on one hand those who work with planning and green matters in Örkelljunga municipality, but also other planners who work with landscape.Literature in the field of green city planning has been studied and 30 methods for analysis have been valued. The method for analysis that has been used in this work is a merging of ten different methods and has included literature studies, sketches, interviews and work on spot. The ten methods are consciously chosen to together make one comprehensive and true image of the village, as far as it is possible.

Background: The development of the Swedish demography is one of the most important social and economic changes ever in Swedish history. Society as well as business is facing an age chock since almost every other company owner is over 50 years old. The complexity of managing a successful succession is pointed out as a major threat to the Swedish economy by the organization Svenskt Näringsliv.Purpose: The purpose with this master thesis is to identify and analyze critical success factors for a successful succession from a going concern perspective.Research method: By using the strong aspects from the quantitative as well as the qualitative method, high level of order and systematic could be reached, without loosing too much details and depth in this particular research. The empirical data was gathered by a digital survey sent to 3000 companies. The quantitative research was complemented by 6 qualitative interviews to increase depth and reliability.Results: The study shows that there is a great incongruence between the expected problems associated to the succession and the actual outcome.

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 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.