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.

Arbetslösheten har en väsentlig roll för länders ekonomi och den rådande arbetslöshetsnivån har skapat en diskussion kring vilka faktorer som kan påverka arbetslöshetsnivån och vilka penningpolitiska styrmedel som kan användas för att leda arbetslösheten i ?rätt? riktning. Räntebeslut, inflation och hysteresiseffekter är några av de faktorer som tas upp för att förklara arbetslöshetsutvecklingen sedan den globala finanskrisen. Syftet är att analysera hur arbetslöshetsutvecklingen i Sverige har förändrats sedan den globala finanskrisen samt att analysera hur penningpolitiken kan ha påverkat arbetslöshetsutvecklingen. Med fokus på Sverige och åren 2007 - 2014 undersöks med hjälp av statistik och relevanta teorier den svenska arbetsmarknaden samt de beslut den svenska penningpolitiken tagit. För att jämföra den svenska penningpolitiken testas hur väl reporäntan har följt den styrränta som Taylorregeln föreslår. För att se hur väl produktion och arbetslöshet samvarierar genomförs ett test med hjälp av Okuns lag.

AbstractAim: The aim of this study was to investigate if treatment with ?dry needling? in myofascial triggerpoints (MTrPs) in the rotatorcuff muscles may affect impingement symptoms such as pain during provocative tests, shoulder mobility, and function. The research questions were: Does the value of pain change on the Visual Analog Pain Scale (VAS) between before and after treatment? Do the positive provocative tests for impingement change between before and after treatment? Does the active shoulder mobility change between before and after treatment? Does the self-rated function change between before and after treatment?Method: The study was a prospective randomized intervention study and 19 persons with impingement symptoms (mean ± standard deviation; 58 ± 18 years, and shoulder pain duration 3.9 ± 1.6 months) were randomized into two groups. The groups were tested before, directly after and 3 weeks after treatment.

Test har utförts för att jämföra två huvudburna displayer (HMD), Penny Interactive Glasses och Sony Glastron, med traditionella displaymetoder för att presentera information i stridsfordon. Testen innehöll ett antal scenarion kring två olika aktiviteter. Testen har utförts i en simulerad miljö bestående av ett antal datorer, en mock-up av ett fordon och en projektor. Testresultat har utvärderas med Nasa TLX, vilket är ett program för uppskattning av arbetsbörda. Enkla test utfördes för att se hur ljusnivån påverkade användandet av HMD utomhus och om enkla filterlösningar var tillräckliga för att lösa problemen. Fokus i testen låg på en HMD från Penny som hade några intressanta hands-free lösningar för att styra applikationer. En bedömning gjordes av hur väl dessa lösningar fungerade och vad, om något, som behövde förbättras för att detta skulle vara praktiskt användbart. Förutom att göra en bedömning av om HMD:er är en lösning som faktiskt underlättar arbetet i ett stridsfordon har vi också försökt komma fram till några förslag på hur de skulle kunna förbättras inom områden så som passform och användarvänlighet. Vi kom fram till att HMD-lösningar potentiellt kan fungera bättre än nuvarande lösningar om de används på rätt sätt.

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.

Purpose: To evaluate how a treatment period on four weeks in a warm climate influences physical function, condition and the patient's experience of the climate effect of patients with ankylosing spondylitis. Method: 10 persons with a diagnosis of ankylosing spondylitis went through four weeks of treatment on Centro Forestal Sueco, Marbella. The treatment consisted of both physical and theoretic lessons given of a rehabilitation team. All patients were examinated measured for physical function and condition before treatment, after two weeks and at the end of the treatment. To measure physical function, Timed-Stands Test, Timed Get Up and Go, The Bath Ankylosing Spondylitis Metrology Index, Index of muscle function and functionestimitation of shoulder/arm were used.

Syfte: Studiens syfte var att undersöka om BKC-tavlans ackommodativa stimulus ändras av att tillsätta optotyper av olika form, storlek och placering till den klassiska BKCtavlan.Metod: Fem olika tavlor tillverkades och jämfördes dels subjektivt med ett högneutralt BKC-test och dels objektivt med en vågfrontssensor av märket Complete Ophtalmic Analysis System (COAS HD VR?). En av tavlorna var den traditionella BKC-tavlan, de andra hade optotyper med varierande storlek, form och placering. Mätningarna utfördes på 40 cm. Mätningarna gjordes på 30 personer mellan 18 och 40 år.Resultat: De fem tavlorna visade ingen statistiskt signifikant skillnad i ackommodativ respons, vare sig med BKC eller COAS?.

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.