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.

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.

Syftet med studien var att undersöka ungdomars uttryckta attityder gentemot alkoholrelaterade handlingar samt att ta reda på hur de upplever den subjektiva normen från föräldrarna. Frågeställningarna var: Vilken attityd uttrycker ungdomen gentemot alkoholrelaterade handlingar? Hur uppfattar ungdomen den subjektiva normen från föräldrar och vänner när det gäller alkoholrelaterade handlingar? Finns det något samband mellan ungdomens uttryckta attityd gentemot alkoholrelaterade handlingar och upplevelsen av föräldrarnas attityd gentemot alkoholrelaterade handlingar? Hur skiljer sig de uttryckta attityderna åt mellan ungdomarna beroende på kulturell bakgrund och kön? Den kvantitativa utgångspunkten valdes för studien och Theory of Planned Behaviour användes som teoretisk utgångspunkt. Resultatet visade att respondenterna uttrycker främst negativa attityder gentemot alkoholrelaterade handlingar. Respondenterna upplever en negativ subjektiv norm från föräldrarna.

Health and convenience trends dominate the food industry and retailing business of today. The health consciousness is spreading while appealing product attributes concerning taste and packaging also are increasingly important. At the same time, the competition is growing fierce in the Swedish market with hard discount formats and niche concepts who also are trying to provide the market with perishables. Therefore, the pressure to lower prices is increasing making economies of scale and rationalization progressively more important. In 2004, ICA launched private label meat packaged in a modified atmosphere. Consequently, many stores went from in-store cutting-up and packaging to selling centrally packaged and distributed meat. ICA is now developing a concept with fresh fish in modified atmosphere packages and needs to increase the knowledge about the market and the consumer.

There have been, in some rare cases, difficulties with clamping of inserts with U-holesin their tool holder. According to the complaints, the inserts could not be properlyclamped or could fracture when clamped. A study has shown that variations inclamping behaviour are mainly depending by the position of the screw hole in the toolholder and the centering of the screw hole in the insert.The focus of this project has been the centering of screw hole in insert. It has beenshown that the screw holes are not always enough centered in the insert. Theproblem may occur after a certain step in the production, i.e.

In this paper the authors examine three questions: 1) Is stealth marketing messages posing as status updates on Facebook a more effective way of advertising than traditional web banners? 2) What impact has learning about stealth marketing practices in social media on consumer attitude and post purchase behaviour? And finally 3) Will different generations respond differently to these questions?Our findings show that stealth marketing in social media is not more effective than traditional web banners. Furthermore, the result indicates that when consumers find out about stealth marketing practices it will have a negative impact on future purchase intensions and brand image. Most consumers will also have strong feelings of being deceived, which could instigate harmful post purchase behaviour such as negative word-of-mouth and possibly, based on some earlier cases, boycotts.The result of our research shows that the brand perceptions and future purchase intentions of Generation Y, persons between 18 and 30 years of age, are affected in a less negative way than the brand perceptions and future purchase intentions of older generations when finding out about stealth marketing practices in social media. However Generation Y:s reaction is still negative and they do consider traditional web banners to be more credible than status updates on Facebook.

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.