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 essay was to enhance the understanding and knowledge about phenomenon access support. Access support means that a third person (contact person) must be present during access visits between a child and its parent, if it is necessary for the child?s security or because the child needs support. The study was based on qualitative interviews with four contact persons and two professional social workers, whose main task have been to support and, partially, coordinate the work of contact persons. During the interviews I put the focus on participant?s experiences and thoughts about the phenomenon access support.

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.

Society has an obligation to offer parents support of various types, an example of such a support is ?parent support?. The purpose of this study has been to describe midwives and child health care nurses conceptions of the need for early parent support. The definition of early parent support in this study is the first two weeks after delivery. Since the 1970:ies the Swedish delivery and ?BB? care has changed in that the time in hospital care after delivery has been reduced from in average six days, till an average of two days.

The purpose of this study was to investigate how directors of preschool apply the mandatory reporting and what information they say is important in the decision to report child maltreat-ment. The study was built on five semi-structure interviews with five directors of preschool working in Greater Stockholm. The perspective of this paper is sociology of law theory. This means to study how out of law information makes sense when director of preschool applies the mandatory reporting. The result was analysed with three different analytic tools: action plan, consulting social services and the considerations of the directors of preschool them-selves.

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.

Bakgrund: Efter införandet av IFRS har det förekommit en del förändringar gentemot tidigare redovisnings regler i Sverige. Från och med 1 januari år 2005 skall alla börsbolag gå över till IFRS 3 Business Combinations. Detta innebär att goodwill inte får skrivas av så som det gjorts tidigare. Nu mer måste det årligen ske ett Impairment test av goodwill för att undersöka om det föreligger ett nedskrivningsbehov.Diskonteringsräntan används vid impairment test av goodwill och är en viktig faktor vid nuvärdesberäkningar av kassaflöden.Problem: Noterade börsbolag utför ett impairment test av goodwill, vilket görs för att undersöka om nedskrivning av goodwill är aktuellt eller inte. Diskonteringsräntan är en viktig faktor vid Impairment test.

Finnish student have for several years proved to be successful in reading in international studies. This interview based study aims to describe how teachers in Finnish schools for Swedish speaking children are relating to reading and reading education during the first two years of schooling. The result shows that reading, reading training and reading comprehension are natural elements in all teaching during the first two years in school and that teaching is based on students? ability and interest. The teachers claim that they provide the students with varying opportunities to practice different kinds of reading.

The overall aim was to examine how the public interest to protect children from violence and sexual abuse at home, is realized by social workers. The study´s central focus was the risk assessments as Social services are obliged to do when they receive a report containing concern that children are being exposed to violence or sexual abuse at home. The study addresses the following questions:o How do social workers go about practically, and what support and knowledge is being used to determine whether the Social services need to intervene for the protection of a child?o What risk and protective factors are taken into account by social workers in the assessment process?o What contextual factors do social workers experience are affecting them in the assessment process?o Which support does the documentation system BBIC provide in the assessment process?The study material was collected through qualitative group interviews, with a modified vignette methodology as tools. The study included a total of twelve social workers, with varying numbers in each interview group.

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.