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.

To get the maximal output of your exercise in gym machines, there are different factorsto be considered. For example the strength of the muscle varies dependent on the positionof the muscles. To get the best results of the exercise the load has to reduce and increaseat specific positions.This study was made in cooperation with Caretaker Scandinavia AB, a company forsales, marketing and development in health care. They are general agent for Nordic Gymwho works with manufacturing of equipment and machines for gym and fitness.The aim of this study was to generate a method of measurement to evaluate and controlthe biomechanics of Nordic Gym´s workout equipment. A protocol for an ergonomicanalysis on the equipment has also been elaborated.One of the methods to measure the biomechanics was to measure the torque through thewhole movement.

The aim of this essay is to study diaries and letters from Swedish soldiers during the Great Nordic War, more specifically those written during the campaign 1707-1721 against Russia, in search of religious coping and religious parables. The theoretic framework is evolved around Kenneth Pargament?s theory about religious coping, and Ana-Maria Rizzuto?s theory about object relations. The method used can be described as hermeneutic.The questions at hand were:- How did Swedish soldiers during the war against Russia relate to God, and express image of God and religious concepts?- Did the soldiers express themselves in terms of spiritual coping and in that case to what extent?The conclusions were that the soldiers used religious coping as a method of survival.

Humanity faces a major challenge with the climate and environmental crisis, largely driven by reckless recourse use and greenhouse gas emissions by corporations. The EU?s Corporate Sustainability Reporting Directive (CSRD) aims to standardise corporate sustainability reporting, making practices more transparent and comparable. This directive seeks to enhance sustainability practices and guide market forces towards sustainability, supporting the EU?s goal of net-zero emissions by 2050.

Aim: The aim of this essay is to study the external communication of Science Park Jönköping, how they want students in Jönköping to perceive them. Further we would like to compare thatinformation with how students in Jönköping actually perceive Science Park Jönköping. Do the both pictures agree?Method/Material: Together with literature studies, a qualitive method has been used.Two interviews with the managers of Science Park, and five focusgroups with students havebeen conducted.Main Results: The main result from the focusgroup interviews shows that the students perceived image of Science Park correlates in many ways with Science Parks profile. But the study also shows that Science Park do not apply many of the relevant theories that would benefit their marketing..

Purpose: The purpose of this work is to investigate teachers' professional attitude to homework as a method. The study will also provide answers to the purpose for which the homeworks are used in teaching and if the individual circumstances and needs are met by this method.Method: Qualitative research was conducted through interviews with four teachers from three different schools. In addition, published surveys were used in support of reasoning.Results: Neither the curriculum or the syllabus mentions homework. There are no directives for how much time should be dispensed with and the extent of a homework should be. In teacher training literature the homework is not discussed.

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 Animal Protection Agency was in 2006, commissioned by the Government to: Evaluate how free range animals in the winter, can be kept and managed with special emphasis to animal welfare. The Animal Protection Agency was closed later in 2006 and the commission moved to the Swedish Board of Agriculture. The keeping of free range out wintered cattle, certain basic requirement are needed: by regulation, cattle should have access to a lying hall or other building that gives protection against aversive weather and wind and should offer a dry and clean lying area. There is a possibility for farmers that get an exemption from this regulation. But cases regarding farms which have had difficulties for this exemption has led to a discussion about if the animals can get the same protection in the nature which is comparable to a lying- hall.

An auditors? job is to review the company's figures and, as an independent part, give an accurate picture of its financial situation. Auditors have to relate to ISA where ISA 570 can be found and which deals with the going concern. The standard addresses a couple of factors that may be indications that a company can have problems with their continued operation. The problem is that ISA does not evaluate the events, which is more significant than others in the assessment, but it is up to the auditor to consider.The purpose of this paper is to describe the factors, which the auditor believes is more important than others in assessing the going concern and explain why it is so.

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.