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.

?Möjligheter och hinder med stora klasser, Att arbeta mot elevernas lärande oberoende på klassens storlek-Opportunities and obstacles with large classes, Working toward student learning independent of class size ?- ett examensarbete av Josefine Ekholst och Linnéa Hedlund. En av riksdagens idag viktigaste frågor är huruvida dagens skolklasser är för stora eller ej, för att bedriva undervisning som bidrar till att kunskapsmålen uppfylls. Detta blir väsentligt för oss då vi som blivande lärare kommer att bedriva vårt arbete i dessa klasser. Valet av ämne för studien kändes därför intressant och nödvändigt. Syftet med studien är att- belysa hur pedagogerna resonerar kring gruppstorlek och dess påverkan på verksamhetens kvalitet.

This thesis aims to study the impact of the transition from communism to democracy on the public libraries in Poland. The central areas of study are changes in: the organisation of the public library system, the role of the public library in society, the librarian's daily work and job situation and collection development. The thesis is based on qualitative interviews with public librarians, public library managers and researchers in Warsaw, Torun and Gdansk. The theoretical background consists of chapters outlining thoughts on democratic and communist library ideas and public libraries' responses to a changing society. The results show that the public library system has been affected by two major decentralisation reforms in Poland, leaving the libraries in the care of local governments.

Several theoretic and environmental psychological models establish a connection between the environment and the reactions of humans and the research support that there is a mutual influence between individual, environmental and behavioral factors. You often assume that a person both can influence and be influenced by the surrounding environment. This is evident, but it is less obvious how a given physical design influence people?s immediate behavior in the city. The aim of this study was to investigate if the physical design of a place influences people in an urban environment and to investigate how the behavior is influenced.

This master thesis has been carried out on behalf of Stoneridge Electronics AB and is an investigation ofhow intelligent switches can replace the traditionally used direct controlled switches. The concept ofintelligent switches is that the switches contain electronic identification components which, by connectingthem to a network, give the same function independent of the location of the switch. This infers anincreased flexibility and configurability which can be a great advantage in development, production andcustomization in the commercial vehicle industry. Especially in the current situation when commercialvehicle manufacturers provides more and more functions and dashboard configurations.LIN (Local Interconnect Network) is a network protocol introduced in 1999. It is a simpler and lower costcomplement to CAN (Controller Area Network) and is adapted for applications where the demands forbandwidth are lower, for example reading sensors and switchers.

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.

Millesgården is a museum on the island of Lidingö outside Stockholm. It contains the buildings which were the home and studios of the artist Carl Milles and his artist wife Olga. It also contains the grounds that originated as the garden of their home. Carl Milles later developed the garden into a sculpture park where a great part of the sculptors works are on display. In this report only the sculpture park is treated.

AbstractA systematic replication study was conducted at the training site at the University of Karlstad. Student therapists performed cognitive-behavioural therapy (CBT) as a part of their master?s degree in psychology.  The systematic replication that took place was based on the work of Hiltunen et al. (2013), who evaluated the efficacy of CBT treatment conducted at the training site previously mentioned.

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.