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.

Background: Traditional oral health education is seldom enough in order for dental care personnel to motivate their patients to good, long-lasting oral health care habits and there is a need for evaluation of other more efficient methods. One of these methods is motivational interviewing. An overview of its origin, definition, theoretical background and practical methods is given by way of introduction. Aim: The aim of the investigation was to review studies that had used motivational interviewing in order to obtain oral health, focusing on prevention and treatment of gingivitis, periodontitis and dental caries. Method: Systematic review. A search question was run through the databases ASSIA, ERIC, PsycINFO, Social Services Abstracts, Sociological Abstracts and PubMed. The articles were reviewed based on defined inclusion and exclusion criteria. Results: Five publications (based on three studies) met the inclusion criteria.

Det existerar ett flertal applikationer där kännedom om användarens position används, dessa tillämpningar är i många fall baserade på GPS-systemet. Problem kan dock uppstå då GPS-signalen inte alltid är tillgänglig, exempel på detta kan vara i stadsmiljöer med höga byggnader eller inomhus i parkeringshus eller lagerbyggnader.Eftersom GPS inte lämpar sig i realtidsapplikationer där krav sätts på noggrannhet i avseende på positionsuppskattning, syftar detta arbete till att implementera ett positioneringssystem baserat på inbördes avståndsmätningar mellan noder.Litteraturen inom området antar att ett protokoll för medium access control (MAC) existerar och därmed att inga datakollisioner uppstår, på så sätt kan alla noder i systemet utföra avståndsmätningar samtidigt. Dessa implementationer använder sig oftast av ett MAC-lager som har en oförutsägbar fördröjning. Oförutsägbar fördröjning är ett stort problem för positioneringssystem som ska fungera i realtid. Kandidatarbetet utvecklade två MAC-algoritmer anpassade för olika hårdvarukonfigurationer, båda är självstabiliserande, självkonfigurerande samt självorganiserande.De testresultat som presenteras visar att den implementerade algoritmen endast beror på antalet mobila noder i systemet och därmed är helt deterministisk.

Det existerar ett flertal applikationer där kännedom om användarens position används, dessa tillämpningar är i många fall baserade på GPS-systemet. Problem kan dock uppstå då GPS-signalen inte alltid är tillgänglig, exempel på detta kan vara i stadsmiljöer med höga byggnader eller inomhus i parkeringshus eller lagerbyggnader.Eftersom GPS inte lämpar sig i realtidsapplikationer där krav sätts på noggrannhet i avseende på positionsuppskattning, syftar detta arbete till att implementera ett positioneringssystem baserat på inbördes avståndsmätningar mellan noder.Litteraturen inom området antar att ett protokoll för medium access control (MAC) existerar och därmed att inga datakollisioner uppstår, på så sätt kan alla noder i systemet utföra avståndsmätningar samtidigt. Dessa implementationer använder sig oftast av ett MAC-lager som har en oförutsägbar fördröjning. Oförutsägbar fördröjning är ett stort problem för positioneringssystem som ska fungera i realtid. Kandidatarbetet utvecklade två MAC-algoritmer anpassade för olika hårdvarukonfigurationer, båda är självstabiliserande, självkonfigurerande samt självorganiserande.De testresultat som presenteras visar att den implementerade algoritmen endast beror på antalet mobila noder i systemet och därmed är helt deterministisk.

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.

Increased trade and eased policy restrictions have brought markets closer together. Prices at different locations are much likely to affect each other to a certain extent. Since the adaption of Common Agricultural Policy in 1995 the Swedish wheat market has been exposed to the world market and Swedish farmers are facing new challenges. A broader knowledge about market integration and price transmission will facilitate Swedish farmers, banks and politicians in making rational decisions. Therefore the aim of this research is to explain how global wheat prices are transmitted on Swedish wheat prices.

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.

Silviculture in young stands in Sweden is below the mark concerning what has to be done in the forest, and it is time to solve the problem. The problem will not be solved only by the private forest owners, professional help is needed. Skogsägarna Mellanskog is one of four forest unions in Sweden who wants to play a role and take responsibility for forestry in the middle of Sweden. This academic essay is based on a market survey sent to 350 forest owners in the Örebro district. 186 of them answered the questions, giving a response frequence of 53 percentage. The purpose of the essay is to find the determining factors which will make a forest owner to find a collaborator when planning and carrying out the silviculture measures in young stands. The result of the survey shows that the forest owners are anxious about the price and the costs. The costs have a severe effect if the silviculture measures in young stands will be carried out or not.

Elderly couples have a right to live together. On June 1st 2006 the Swedish government extended couples? rights, granting special consideration to elderly partners to enable them to receive care in the same home. But what happens if only one of them is eligible for care? This paper has studied how elderly couples were affected in situations where one partner was unable to continue living at home, and what measures could be taken to improve their situation.

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.

Scania utvecklar och tillverkar lastbilar, bussar, industri- och marinmotorer. Största delen av Scania Sverige ligger i Södertälje, där även den mesta utvecklingen av produkterna sker. Företaget är verksamt i ca 100 länder och har 34 000 anställda. Forskning och utveckling består av ca 2 400 anställda. [1]Scania Motormontering Södertälje tillverkar motorer för Scanias europeiska produktion av lastbilar och bussar.

I det här projektet har uppgiften varit att rena vattnet i Aqua Interiör i Laholms egen tillverkade vattenmöbel med hjälp av uv-ljus. Dessa möbler hyr de ut till kunder för att kunna få ett lagom kallt vatten med eller utan kolsyra. Vattenmöblerna är direkt kopplade till det befintliga vattensystemet. Ett problem som de tidigare haft är att de inte kunnat ha sina möbler på sjukhus eftersom möblens beskaffenhet medför en ökad bakteriehalt i vattnet.Denna bakteriehalt kommer dock inte upp till den gräns som livsmedelverkets satt som icke tjänligt. På sjukhus finns ett högre krav på vattnets kvalité där inga anmärkningar får finnas på vattnet.

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.