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.

Skanska is using work schedules that are specifically designed for employees in the production. These work schedules are called best practice. These are guides containing technical descriptions, design references, capabilities, etc. for work activities. This support function facilitates the work preparation and planning of future work.

The aim of this paper is to examine the capacity for ethical reasoning of Swedish certi-fied auditors in the five largest accounting firms in Stockholm, and also how ethics courses affect the auditors' ability to ethically statement. To calculate the auditors ability to ethical statement, questionnaire has been used. The questionnaire is based on a psychological instrument, the so-called Defining Issues Test. At the beginning of the questionnaire some questions are asked about the ethics courses. From the questionnaire a calculation was made of an average index called p-score (Principled score).

Investors have been shown to be driven by emotional and psychological factors. This contradicts classical financial theories, for example the Efficient Market hypothesis which states that all investors act rationally. Behavioural Finance is an area of study which describes various psychological factors which may result in irrational investor behaviour.The primary question of the study is: which factors do operating people in the financial sector consider themselves to be influenced by? The purpose of this study is to investigate the factors which affect the process of creating forecasts or making financial decisions. The study examines in addition if there is a correlation between length of investor experience and overconfidence in forecasting accuracy and investment decision making.The study includes both quantitative and qualitative analysis.

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.

ABSTRACTPurpose: The purpose of the study was threefold. Firstly, to investigate if a four week program in pain rehabilitation had any effect on how much individuals with persistent pain worked and their degree of kinesiophobia. Secondly, to study if there was a correlation between how much these individuals worked and their degree of kinesiophobia. Thirdly, to study if there was a correlation between the change in these variables.Method: 112 patients who had participated in a four week rehabilitation program took part in the study. The study had a retrospective design, which was based on a review on medical records and consisted of three minor parts.

The research of organizational structure and control in the audit profession suggest that there is a contradiction in that auditors should both nurture collegialities while they at the same time have their own responsibility for their individual development and career. This creates a competitive situation among colleagues who in return are expected to maintain a good social relationship and team spirit with each individual. Subsequently, being part of the collegiality and being highly individualistic, gives rise to a theoretical dilemma where these opposing forces are supposed to coincide with each other.The purpose of this paper is to create a bigger understanding of how auditors at major accounting firms can handle the conflict that arises. In order to explore this dilemma, we conducted a qualitative study based on an abductive approach. We have made seven semi-structured interviews from a localistic view.

Syftet med uppsatsen har varit att undersöka om aktieprisets volatilitet förändras signifikant i samband med annonseringen av en VD-avgång. En eventstudie tillämpades med aktieprisets volatilitet som mått. Modelleringen har utgått ifrån ?Constant Mean Return Model?. Studien är baserad på 67 VD-avgångar från 53 olika företag på Stockholmsbörsens A-lista mellan åren 1999-2005.

During an investigation of animal welfare in animal production, the focus has for a long time been focused on the absence of stress, suffering and injuries, and positive emotions have not been prioritized. However, in recent years that has been drastically changed. The public interest have increased for buying animal products from animals that have had a decent life, which have led to that play, exploratory behavior and other positive behaviours has come to play a significant role in welfare assessment. The welfare of cattle is difficult to assess since there is currently no ancestors to study, it is thus difficult to determine which behaviors can be regarded as natural and thus positively related, acordingly the welfare of cattle have been forgotten and research on positive emotions of cattle have not been prioritized. The aim of this study was to observe which behavior growing cattle performe, and if there was any differences of which kind of behavior that was observed, if the cattle is keept on slatted floor or on a deep straw bedding. Furthermore, antoher purpose was to investigate if the observed behaviours indicate a positive, negative or natural welfare, and if it is possible to use the observed behaviours in a welfare assessment.

Background: Insufficient nutritional support is associated with prolonged hospitalisation, impaired wound healing and impaired survival for patients in intensive care. In severe sepsis and septic chock, calculation of nutritional need is complicated since the metabolism is affected by decease. Aim: The aim of the study was to investigate nutritional support and to examine the quality of nursing documentation of nutritional status and nutritional support in patient records in severe sepsis and septic chock.  Method: The study was conducted as a retrospective investigation where 64 patient records were studied. The quality of documentation was examined in 10 patient records using an examinational model.Findings: Calculation of average nutritional support showed insufficient supply particularly in the two first days of intensive care. During the next five days nutritional supply was higher but individual variation was seen, why a clear picture of nutritional support is hard to detect.

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.