The period of church awakening in Sweden during the first half of the nineteenth century, has had a great influence on the Swedish society. During that time certain persons are to be noticed. Peter Fjellstedt and Peter Wieselgren, priests in the Swedish Church, are among those who were of special importance. But even the British preacher George Scott and later the Swedish layman Carl-Olof Rosenius became aware of the importance of networking. They all felt a call from God to preach a message of redemption and restoration.

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.

Today we keep our horses in a way that is easy for us humans but may not always be the most optimal way for the horse. Often the housing of the horse prevents the horse from performing behaviours that they have natural needs to perform. It is not unusual that animals that can not adapt to their environment develop abnormal behaviours. Many of our stabled horses therefore develop some kind of stereotypic behaviour. This study was made in purpose of comparing the behaviour of a weaving horse to two non-weaving horses under similar conditions, where one of the horses was stabled next to the weaving horse and the other horse was stabled further away in the same stable. Seven weaving horses were included in the study.

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.

Relationship between social behaviour, feeding behaviour and performance of boars using single-space feeders A study on the behavioural patterns of growing boars is presented. The study was preformed at Quality Genetics? boar testing station Månseryd in Sweden. The boars were purebred Yorkshire, Hampshire or Landrace, born in nine different nucleus farms. The study is based on two batches of boars, with 63 and 69 boars respectively.

This project is an attempt at creating a bag that is both functionaland has an interesting and relevant visual appearance. I have found that a bag that is functional usually have adapted certain aesthetics which are appealing only to a very limited target group. At the same time many bags that are more focused on style can be downright disabling to the carrier. I wanted to create a functional bag, and to explore new functions doing this, while working with aesthetics that stayed relevant and interesting to my target group. The bag was designed for the company Åhléns and their label WERA Stockholm, and theircustomers was the target group.

I dagens samhälle används internet för kommunikation mellan människor runtom i världen. Det första videosamtalet gjordes runt år 1940 och det är dags fören utveckling, där 3D är något som skulle kunna göra videomöten mer verkliga.För att möjliggöra detta så konstruerades ett system som skulle kunna ta in datafrån olika time-of-flight- och färgkameror och en ljudenhet. Denna data ska sedankomprimeras och sändas över internet för att kunna spelas upp på någonannans 3D-skärm. För att samtalet inte ska kännas fördröjt måste samtliga delartillsammans ske inom realtid. De utvecklingsmetoder som har använts är parprogrammeringoch en variant utav testdriven utveckling.

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.

Modern milk production have come a long way when it comes to accommodating the nutritional and physiological needs of the animals, but unfortunately the behavioural and psychological needs of cows and heifers are often left unfulfilled. A long time for eating is beneficial for the digestion and also gives the cattle something to do and decreases the risks for developing abnormal behaviours. An important factor that influences eating- and ruminating time is the particle size of the roughage. The aim of the study was to find out if particle size influences the behaviour of dairy heifers, in particular with regard to eating behaviour and abnormal behaviours. The study was conducted at Uddetorp farm high school in Skara. Forty-two heifers of the breeds SR and SF were housed in 8 slatted floor pens.

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.