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 Armed Forces is looking to improve control of where articles are and the monitoring of their condition within its clothing supply. That is why Försvarets Materielverk is working on a motion to tag the Armed Forces clothing with passive RFID-tags. A cost/benefit analysis has been made in this report in order to find out whether the investment is economical justifiable and what costs and benefits arose. The analysis tool that was used is based on the PENG-model. The analysis had three scenarios with the difference that each scenario included various amounts of clothing to tag.  There has also been made an analysis where only the benefits regarding decreasing amount of lost clothes and simplified inventory were included.The result of the first analysis was that none of the scenarios was profitable during the first year.

The urgency of sustanible development is world-over issue. This essay focuses on the relations of enviromental ethics in the context of the Swedish upper secondary school and the subject of geography, by analysing different educational texts.The purpose of this essay is to reveal and identify discourses of enviromental ethics in curriculum documents; Lgr 11 and the plan- and the coursedocuments for the subject of geography, in educational publisher?s textbooks and in sponsored texts related to the subject of geography and finally to discuss potential consequences this might implicate for education. For this have the methodology of Norman Fairclough´s critical discourse theory, CDA, as well as a matrix of environmental ethics, based upon Mikael Stenmarks classifications of enviromental ethics, been used.In the Cirriculum, Lgr 11 and documents for the subject of Geography, and in the educational textbooks from ?Liber? and ?Gleerups?, are the environmental ethics of intergenerational anthropocentrism the dominant.

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.

Increasing innovation and entrepreneurship has been identified as a key target for sustained growth and welfare, both in Sweden and abroad. Therefore, many countries have recognized the need to equip students with entrepreneurship education and to integrate skills associated with entrepreneurship into the various curricula.To shed light on entrepreneurship education within business curricula, a case study focusing on the first two years of the Bachelor program at the Stockholm School of Economics (SSE) was conducted. The study was based on interviews with students, alumni and scholars with a background of entrepreneurship. Insights from respondents were compared with leading research on entrepreneurship education, to evaluate the program's approach.Primary findings from the qualitative analysis showed an overall lack of entrepreneurship education in the early stages of the program. Entrepreneurial "know-how" knowledge was an insufficient component of the SSE program and a barrier for why more students did not pursue a career in entrepreneurship.

The purpose of this study was to increase the understanding of the phenomenon that there are so many young people placed in institutions in Sweden despite the valuable knowledge regarding the problems and risks of doing so. The questions that follow in the essay were what guided the social workers to choose institutional placement for youngsters. It went on to also ask if this knowledge could contribute to an increased understanding of why there were so many young people placed in institutions despite the criticism from scientists. To accomplish the goal of the essay, former science in the subject was reported and six social workers within social services were interviewed. The material of the interviews was analyzed with help from the theory of human service organizations, street-level bureaucrats work situation and the new institutionalism.The result of the investigation showed that the social workers choices to place young people in institutions is guided by specific work and organizational factors connected with a belief in the helping function of the surroundings.

Title: The dynamics of the Audit expectation gapIntroduction: The audit expectations gap is the difference that exists between what auditors and users of accounting information expects an Independent auditor to do. Since the definition arose in 1974, much research has been done about the gap. What is relatively unexplored is how the gap changes over time within a country, and how it is affected by external events. This lack of knowledge has motivated this study.Problem: How has the audit expectation gap changed in Sweden, from the emergence of the definition until today? In which way have corporate scandals and legislative changes affected the gap?Purpose: The aim is to identify and create an understanding of how the audit expectation gap has changed in Sweden.

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.