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.

According to the Employment Protection Act, the permanent employment is the main condition of employment in Sweden. Nevertheless, nowadays a large number of employers choose to apply other conditions of employment than the permanent employment in their businesses. The rapid technical development and the demands for shorter perspective investment in companies on the Swedish labour market have started the requirement for a more flexible workforce. On-call employment is one of the conditions of employment that is increasing the most. This condition of employment is adjusted by the parties on the labour market.

Outsourcing in IS/IT offers organizations the possibility to use external resources, maximize flexibility and focus on core business, this prompts many organizations today to be less keen on developing IS/IT-services in-house. Sourcing IS/IT is however a complex activity in itself thus requiring competencies in many areas of expertise and lots of organizations has experienced the challenge of managing the necessary competencies to ensure successful Information Technology Outsourcing (ITO). A literature review in the field of outsourcing revealed the lack of a comprehensive competency management framework with the ability to guide competency resource planning in ITO projects. In order to highlight the problem area, an extensive and thorough literature review and an empirical case study which investigated the skills and assets in ITO projects at ten major Swedish organizations was conducted. The study found that it is possible for organizations through structured analysis of their intellectual capital, using the competency framework developed within the study, to plan sourcing processes and prepare the necessary changes to ensure the ITO projects can be implemented with the desired effect..

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.

SAMMANFATTNINGÖvergödning har de senaste åren blivit en stor och omdebatterad fråga i många EU- länder.Även om problemen har minskat en del är detta inte tillräckligt, vi ser fortfarande fiskdöd,syrefria bottnar och giftiga algblomningar. Hur långt ska vi gå för att kunna övervinnaövergödningsproblemen? Genom olika sorters lagstiftning, ekonomiska styrmedel ochrådgivning har vi nått en bit på vägen, men fortfarande krävs det mycket arbete innan vi haruppnått målet. Jordbruket har pekats ut som en av de största källorna till övergödning pågrund av överskottet av kväve och fosfor som varje år urlakas ur våra jordbruksmarker.Inom EU finns sedan 1991 en gemensam lagstiftning; Nitratdirektivet. Syftet med direktivetär att minska nitratföroreningar och andra föroreningar från jordbruket, då dessa påverkarsåväl yt- och grundvatten som kust- och havsvatten.

In order for a judgement to be enforceable in another Member State, there is a certain requirement for an "intermediate? court procedure, a so-called exequatur procedure. An exequatur procedure is both expensive and time-consuming. The average cost of the procedure within the EU is 2 200 euro in a case without particular difficulties. In more complex cases, the cost of the procedure can be validated up to 12 700 euro.

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.

AbstractAs a young offender in Sweden today you can be sentenced to juvenile care within the social services. Within the juvenile care it may be an option for these young offenders to undergo an affect program. That is a collective name for several types of structured programs that can include everything from conversations to visits. The purpose of this study was to create an understanding of which arguments there are for why these affect programs for young offenders is being used in three municipalities in southern Sweden. We authors found this interesting because of the lack of evidence for these affect programs.

By our employer Camatec Industriteknik AB have we been given the assignment to continue with the previous work ?Design of strip feeder?. Our goal with this work is to come up with a design basis for a strip feeder.Functionally a strip feeder consists of two rollers which with the aid of the friction between the strip and the coating on the roller create a strip force that pulls the strip through the working progress.Demands on this project:? 10 ? 600 mm in strip width and 0,1-1 mm in strip thickness.? Minimum 30m/min in production speed.? A maximum strip force on 30-40 kN.? The cost of the strip feeder?s components is to be considered of economy and quality.The need of a strip feeder occurs when the coil doesn?t manage to feed or pull the strip before or after a working process. The strip can otherwise be exposed by a permanent yield deformation or a change in the strip material if it?s pulled trough the working process only by the on ? and of-coils.

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.

There is no commonly accepted definition of a business method. It ought to consist of a method or a process of doing business. Business methods constitutes a broad category of patents, it is hard to tell exactly what can be interpreted in to the term. Most of the world's legal systems have made an exception from patentability for business methods. In the USA the exception was abolished in a case 1998.

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.