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.

Abstract______________________________________________________________________Title:A study about creating understanding for different kinds of empowermentLevel:Bachelors thesis in Business Administration, 15 creditsAuthor:Fredrik LegovicSupervisor:Tomas KällquistDate:2014 - JuneAim:The main purpose of this study is to increase the understanding for different kinds of empowerment and how it affects the staff in the public sector.Method:The choice of method was based on the research aim. The method used to meet the objective was qualitative. The qualitative study was conducted with a hermeneutic basis, where individuals were asked to describe their experience of empowerment and how they feel affected of it. This thesis has a deductive approach, where existing theories dealing empowerment formed the basis for the design of interview substrate, which is then paired with the empirical evidence, based on this the conclusions was drawn.Result & Conclusion:What separates the different kinds of empowerment and how it affect the staff depends most of all on how the management chooses to communicate and share information with their staff.Suggestions for future research:A study regarding managers that works with different kinds of empowerment, and how that affects them, could be regarded as an interesting future research.Contribution of thesis:It shows that different kinds of empowerment affect the staff in different ways, which I made clear to the readers.Keywords:empowerment, thinking skills, relations and organizational - structure and theory.

This report describes a study of two different methods to achive the best possible result in setting out apartment details. These two methods are the setting out of details with a measuring tape from baselines and the setting out procedure with an instrument (totalstation).Through our knowledge in surveying and mapping technology and help from a carpenter, this investigation has been implemented. The setting out using a tape has been performed by letting the carpenter to set out windows, bathroom and water- and drain-details from baselines and drawing. The setting out using a surveying instrument was carried out by means of a Trimble Total Station. These two methods have been compared in order to detect and show the difference that occurs.The report shows the investigation background story from the practice of Swedish Mätcenter in Karlstad.A result of differences in accuracy and time is described in the report, as well as their theoretical consequences.

AimThe aim of the present study was to study possible evidence for shock wave therapy on pain and function in patients with plantar fasciitis.Questions1. Does shock wave therapy reduce pain in patients with plantar fasciitis?2. Does shock wave therapy improve function in patients with plantar fasciitis?MethodA systematic review of the literature was performed in the databases PubMed, EMBASE, Cochrane and Cinahl.

In this master?s thesis the problem of simulating conditional Bernoulli distributed stochastic variables, given the sum, is considered. Three simulation methods are considered, namely the acceptance/rejection technique, Bondesson?s method and the Markov chain Monte Carlo method.To compare the three methods the bias and the standard deviations of the simulated variables are evaluated. The results of the simulation study shows that the Markov chain Monte Carlo method is not the best method for this type of simulation.

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.

Sahlgrenska AcademyAt University of GothenburgDepartment of Internal Medicine and Clinical NutritionAbstract:Titel: Effect on muscle building associated with alcohol intake after exerciseAuthor: Frida Bond och Linnea DanielssonSupervisor: Frode SlindeExamminer: Anna WinkvistProgramme: Dietician study programme, 180/240 ECTSType of paper: Examination paper, 15 hpDatum: May 26, 2014Background: Drinking alcohol is often used as something to spice up weekdays as well as more festive occasions. The reverse aspect of alcohol consumption is that the body sees alcohol as toxic and therefore the basis for a number of diseases. Exercise and physical activity have been proven to be good for several welfare diseases such as diabetes and cardiovascular disease. Among people in general, opinion is divided as to how exercise combined with alcohol affects muscle building, but what do science say? Objective: The purpose of this review article is to analyze and summarize the existing scientific data about how the structure of muscles is affected in relation to alcohol intake after exercise.

One of many difficult issues in veterinary medicine is the assessment of an animal's experience of pain. As a licensed veterinary nurse in Sweden you are obligated by law to work by the concept of evidence based medicine. To achieve this the author of this study sees the need for standardized methods of pain assessment. A Swedish version of Short form of the Glasgow Composite Measure Pain Scale (CMPS-SF) has recently been translated and developed. Furthermore, a psychometric validation needs to be performed to ensure its validity and reliability.

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.