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.

Abstract"Citizen Influence, Forms and Effects - A study of the Resistance Concerning the Establishment of a Juvenile Detention Center in Kristinehamn 2005-2007"Political Science, Johan Utter This essay circles around the concepts of citizenship and the questions if and how citizens in the modern democracy can influence and effect the political decisions made by the governing body on the local level. This is done by the means of a case-study concerning the establishment of an institutional facility for convicted youths in Kristinehamn. The planning of this facility and especially its planned location in Sunneberg aroused a significant negative response from the citizens, demanding a better alternative for the location.The proposition resulted in heavy protests from the citizens as the planned location was viewed as an important recreation area, where the citizens could experience nature first hand, close to the centre of town. As a result, some citizens living close to the planned location, formed a network called "Bevara Sunneberg", whose purpose was to influence the decision-makers and make the citizen?s voices heard.

The thesis tries to answer how a combination of financial metrics and marketing metrics can improve strategic decision making. The purpose is to develop a strategic working method for general dealers. The method is based on the two theoretical frameworks "The strategic resource model" and "The importance-performance matrix". The suggested method is being tested in a small retail store environment on the Swedish market. The result of the test shows that a better suited strategy can be developed when this strategic method, which combines financial metrics with marketing metrics, is being used.

Local politicians are key actors in the democratic system and their ideas concerning democracy plays a central role in local democratic politics. The study's point of departure is the notion that local politicians are dependent of coherence between practice and theory concerning democracy and in the study of their ideas we acquire knowledge about the democratic practice.This study examines the local politicians? view of Swedish democracy and explores the logic of the discourse that makes statements concerning democracy possible. Twenty local politicians have been interviewed and from the material a discourse have been established through the use of formulation of problems and cause, nodal points and chains of analogy which is compared with democratic ideals.The study comes to the conclusion that a hegemonic discourse exists, in which central nodal points are representative and listening. The idea of the representative system is hegemonic and is based in the liberal democratic ideal although the view of the citizens rather can be traced to the radical, communitarian and deliberative ideal.

Inledning:Dagligen möts organisationer av situationer där de måste ta beslut. Frågan är vad som egentligen avgör vilket alternativ organisationen väljer, vilka beslutskriterier används? Ju bättre insikt den säljande organisationen har om den köpande organisationens beslutsprocess och beslutskriterier, desto bättre kan de påverka inköpsbeslutet.Inom hotellbranschen är säsongvariationen hög och för att övervinna den erbjuder vår uppdragsgivare Björkbacken Karaktärshotellet konferensmöjligheter. De behöver dock skapa förståelse för vilka kriterier potentiella konferensköpare använder sig av när de väljer konferensanläggning för att kunna attrahera fler övernattande konferensgäster.Syfte: Syftet med den här uppsatsen är att beskriva organisationers väg till beslut och vad de efterfrågar vid köp av konferenser. Det ska göras genom att utforma en modell för beslutsprocessen och empiriskt testa den.Metod: Vårt syfte har vi angripit med en i grunden positivistisk vetenskapssyn med ett deduktivt angreppssätt.

The aim is to develop a new decision-making model for credit-loans. The model will be specific for credit applicants of the OKQ8 bank, becauseit is based on data of earlier applicants of credit from the client (the bank). The final model is, in effect, functional enough to use informationabout a new applicant as input, and predict the outcome to either the good risk group or the bad risk group based on the applicant?s properties.The prediction may then lay the foundation for the decision to grant or deny credit loan.Because of the skewed distribution in the response variable, different sampling techniques are evaluated. These include oversampling with SMOTE, random undersampling and pure oversampling in the form of scalar weighting of the minority class.

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.

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 purpose of this study is to examine the change in consumer behaviour regarding the intention towards buying fruit when the layout of the fruit section has been altered. We want to increase the probability of making impulse purchases by altering the layout. In our study we have combined structured quantitative observations with structured quantitative as well as qualitative interviews, with secondary data in the form of sales data from two selected ICA-stores. We chose to use this triangulated approach in order to cross-examine our findings and overcome the limitations of one method by the use of another. Further, the Latin square design was used for the observations as a means to acknowledge the calendar effect during the experiment.