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 purpose of this study was to examine social workers working process in social assistance with focus on the child´s perspective. We were interested in learning about the existence of variations in approach and attitude between two municipalities. Question to be answered about what methods and approaches used by social workers to include the child´s perspective in the process of social assistance. Another question to be answered about what the manner in which social workers took into account the child´s perspective when the families apply for social assistance in relation to the operations and requirement. To fulfill the purpose, qualitative methods were used.

The purpose of this thesis has been about processing an already existing folder for a tax funded organization which is also the employer for this mission ? Expectrum. The reason is that both Expectrum themselves and the recievers of the folder are unhappy with the existing material. The critic that has been directed to Expectrum is that the recievers have trouble understanding what Expectrum is and what they do. Based on qualitative methods such as interviews and text analysis I?ve been able to answer my questions for this thesis.

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 usage time is an important part of the specification for products powered bybatteries. The usage time is affected by a number of different elements; technical,environmental and how the product is being used. The method to determine theusage time is intended to define how measurements and calculations are to berealized along with influencing factors to keep in mind. With support from thismethod the intention is to gain control on how well the established usage time canbe expected to cohere with the real value and what affects the value.The study is done specifically for hearing protectors with battery powered built inelectronically functions. The functions can be level dependent function forambient hearing, 2-way radio communication, Bluetooth or FM-radio.The first chapter of the report describes the literature study performed in theproject.

Within the ambulance care in Uppsala County a vacuum splint is used to immobilize fractures on extremities. The research available on which method of immobilizing to prefer during pre-hospital treatment is limited. The purpose of this pilot study was to examine the perceptions of the ambulance personal in Uppsala County on the issue of usability of SAM-splint and vacuum splint when immobilizing extremities. The project was also aimed at researching if SAM-splint could be seen as an alternative or a complement to vacuum splint, and to get an apprehension on any evident differences in patients? perceived pain when treated with the two different approaches. A descriptive comparative study was carried out. All patients, regardless of age and sex, with the need of immobilizing supposed fractures, were included.  Patients with suspected femur fracture, collum fracture, or where pre-hospital care was not possible or in question, was excluded.

The following essay investigates emission rights accounting. Presently there are several methods through which emission rights can be accounted for by companies. The rights can for instance be valued at fair value or nominal value and as marketable securities or intangible assets; due to a lack of consensus or clear standards companies use these or other accounting methods to value their rights. This essay investigates whether there is a relationship between the company?s choice of accounting method, the key ratio number of owned emission rights/total assets, the accounting firm used and the yearly result as a sign of earnings management.Through a quantitative study based on questioners and numbers from the annual reports three hypothesis are tested.

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.

In connection with riding and handling of horses, many accidents that can cause severe injuries to both horses and humans are existent. The cause is in most cases that the horse is frightened. The horse's fear also affects its usefulness and it has been shown to have adverse effects on the horse's welfare. To increase safety and improve the welfare of both humans and horses, it is important to find appropriate training methods to reduce the fear of horses in frightening situations. This experimental study compares handled habituation to free habituation.

This bachelor thesis is a study in the analysis of paintings with focus on the technical exami-nation within the framework of ATSR. ATSR is a methodology based on an interdisciplinary study with the aim of putting the object in its context.The study is based on questions concerning which information the object can give, how we access this information and how it can be put in a larger context. My thesis contains three major parts. First a short overview of methods of analysis used in this form of investigation is presented. This is followed by two case studies which exemplify the technical investigation.

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.