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.

In the fall 2011 a new grading scale will be implemented in the Swedish school. A government bill suggests a change of the scale from a three- to a six-point scale. The students will also be graded from the sixth class instead of today?s eighth. From the first year of the compulsory school the pupil will get a written judgment.

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.

Symmetrisk Lupoid onychodystrofi, SLO, beskrevs för första gången på mitten av 90-talet. Sjukdomen karaktäriseras av att alla klor avlossas inom en kort tidsperiod utan att andra samtidiga systemiska fynd ses. Den bakomliggandeorsaken till sjukdomen är ännu inte känd, men eftersom liknande histologiska fynd som vid systemisk lupus erythematosus, SLE och kutan lupus erythematosus, LE, kan identifieras har en autoimmun bakgrund misstänkts.Hörnstenen i SLE-diagnostiken är ANA-test, för att påvisa cirkulerande antinukleära antikroppar. I enstaka studier har man tidigare hos vissa hundar med SLO kunnat påvisa ANA.Syftet med den här studien har varit att göra ANA-test på hundar med symmetrisk kloavlossning och SLO, samt att genom journalstudier beskriva hur sjukdomen ser ut i Sverige idag.Hundar provtagna och testade för ANA är sju bearded collies, fem riesenschnauzer, tre Rhodesian ridgeback och en toypudel samt tolv kontrollhundar av raserna bearded collie, riesenschnauzer och Rhodesian ridgeback. Samtliga hundar var negativa för ANA.

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.

Effektiv konflikthantering ?r en central del av polisyrket, d?r b?de yrkesm?ssiga krav och personliga egenskaper p?verkar hur konflikter uppfattas och hanteras. Tidigare forskning ger st?d ?t att personlighetsdrag kan ha en inverkan p? konflikthanteringsstrategier. I denna explorativa studie unders?ktes sambandet mellan personlighetsdrag, med fokus p? samvetsgrannhet, och preferenser f?r konflikthanteringsstrategier hos svenska polisstudenter.

To succeed, a word that can be interpreted in many different ways. In this thesis the authorshave highlighted the word succeed with success. There has been a case study of twocompanies, which managed to penetrate a competitive market which is still under expansion.These brands are popular and maintain a high standard. Boomerang and Vagabond are twoSwedish companies which not only managed to penetrate the Swedish market, but also aninternational market. These are two Swedish companies which started from scratch as anyother company.

I föreliggande studie har unga flickors attityder till ätande över tid studeras, samt sambandet mellan föräldrars attityder till mat och ätande och deras döttrars attityder. Detta gjordes genom frågeformulären Children´s Eating Attitudes Test (ChEAT) och Eating Attitudes Test (EAT), från IDA-projektet (Identification of Dieting in Adolescent girls) som delades ut i 40 olika skolor i Uppsala län år 1995 samt 2000. Resultatet visade att det var elva procent av 14åringarna som låg i riskzonen (riskbeteende = 16-72 p) för att utveckla ett stört ätbeteende, medan det inte var någon utav nioåringarna som låg i riskzonen (M 9år = 1,88 M 14 år = 4,35p=.001). Inget signifikant samband mellan varken mammans och flickornas ätbeteende eller pappans och flickornas ätbeteende kunde ses. För att problem med ätstörningar hos ungaflickor ska minska tycker författarna att det är viktigt att föräldrar informeras om hur tidigt deras barn blir medvetna om kroppsideal samt matfrågor.

Reading old handwritten documents can be a real challenge for genealogists, especially as some documents in Sweden are written in the old German alphabet that is not used today. Much research has been done on how to enable computers to read old handwritten documents, but computers have so far not reached the level of reading that expert humans have. The focus seems to be on the computers reading the document with or without the help of human experts, with the aim of making the documents available in easily read form. I have, however, not found any research on how computers can help non-expert humans trying to read handwritten documents. In this project I have focused especially on beginning genealogists as reading gets easier with practice, and you need the help more in the beginning. By conducting interviews and observations with genealogists I established that reading is an issue and that there are many factors involved that make it difficult to read.