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.

This master?s thesis deals with integrating simulations using Agilents Electronic Design Automation tool ADS with customized Matlab scripts, for solving complex analog and digital radio architectures. In particular, it addresses predistortion, realized in the digital domain, of power amplifiers, modeled in the analog domain. The former is implemented in Matlab while the latter is implemented in ADS. Two versions of integrating the two systems have been tested: 1) Iterative approach on sample basis and 2) Scheduled batch Solution by matrix inversion.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle Solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A Solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic Solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

Society is characterized by patterns of behavior and interaction that is created and recreated inthe interplay between individuality/collectivity and freedom/constraint, thus represents avariety of social issues and social phenomena. One of these phenomena is social supportexchanges and social capital. In order to obtain views on how this might appear in a specificsociety and contribute to the knowledge about social support exchanges and social capital, thisstudy was done with seven families in a village in Nepal. The village and the families gave aview and an example of how it might look in a place where social support exchanges plays acrucial role in this way of living. Through observations and interviews I have tried to make thesocial support exchange areas and meanings visibile.

A violent conflict emerged in the Indonesian province of Aceh in 1976, with the rebels of the Free Aceh Movement, GAM, on one side, and the Indonesian government on the other. GAM demanded Aceh to become independent, but the Indonesian government did not accept their nationalistic claims. The conflict therefore lasted for almost thirty years, and many civilians were killed during this period. This essay deals with this particular conflict; its causes and its Solution. In the centre of the analysis we find theidentity of the Acehnese people, and the way in which this identity has beenconstructed and re-constructed throughout the history.

Over the years, what people have considered as the center of Stockholm City has gone from the medieval Stortorget in Old Town to the contemporary Sergels Torg. But more recently it has become unclear how the area really works. It is difficult to say where the actual central part of Stockholm lies, because while the Central Station is where the majority of people arrive into town, it is not necessarily close to Sergelstorg (considered the center of town) or other attractive commercial areas. There's also another issue with where the center of Stockholm is located. The railways and roads running along Klarabergs Viaduct acts as a divide between the areas of Kungsholmen and Norrmalm; these rails, roads and water separate the two areas from each other. In response to this problem of area division, a plan is being made to construct a new district near the center to mend the gap between the districts. The idea is that the center of Stockholm city will become more lively and attractive. The plan includes building new housing, commercial areas and a larger terrace called Mälarterrassen. In addition, improved mobility within the area is being planned by having better public transportation lines like City banan and tram named Spårväg City construction, as well as more pedestrian areas shall make the area become a district to thrive in.How the area will actually operate in the future is still unclear and many questions still exist about how the area will be able to compete and, above all, integrate with the other districts. The parts considered to be most important for the area is the scale of residential property and an attractive area that keeps people in the area and to encourages them to pass through the area. Perhaps the best Solution would be to have something special planned in this area that can attract people in the community ? a city park, for example?.

ABSTRACT This research explores how the Work Integration Center (AIC) supports unemployed immigrants in acquiring jobs and how the practical work helps immigrants in entering the labour market. It employs qualitative research approach through semi-structured interviews staff members at AIC and municipal commissioners of education and labour market in the municipality of Malmö. Its aim is to examine how governmental setup guidelines were represented in the practical work. These guiding principles of the organization are presented at the top of municipality. The findings suggest that even if the staff has no knowledge of the official measures of the integration plans, they have implemented the aims and criteria in their work with the immigrants.

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.

Bovine milk is an excellent source of bioactive peptides. The bioactive peptides are in an inactive state in the protein and are released during enzymatic activity, e.g. during cheese ripening. Specific properties of bioactive peptides from ripened cheese has been reported, e.g. antihypertensive, antioxidative, antimicrobial, immunomodulatory and mineral binding.

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.