The aim of this research is to show theoretical similarities between emotional intelligence and self-actualisation. The empirical results give evidence of the relationship between these two concepts. An assessment battery consisting of the BarOn Emotional Quotient Inventory (BarOn EQ-i), an emotional intelligence instrument and the Personal Orientation Inventory (POI), a self-actualisation instrument was used to measure the concepts of emotional intelligence and self-actualisation. A sample of 71 employees was assessed using psychometric tests and a biographical questionnaire. The data was collected over a period of four months. The statistical methods used in this research focus on quantitative measurement. Calculations are mainly done with t-tests and Pearson's product moment correlation coefficient. The empirical results of this research give partial evidence of the correlation between emotional intelligence and self-actualisation. Positive relationships between various factors of emotional intelligence and self-actualisation were found. / Industrial & Organisational Psychology / M.A.(Industrial Psychology)

Many concrete problems may be cast in a multi-objective optimisation framework. The redundancy of existing methods for solving multi-objective programming problems susceptible to inconsistencies, coupled with the necessity for making in- herent assumptions before using a given method, make it hard for a nonspecialist to choose a method that ¯ts the situation at hand well. Moreover, using a method blindly, as suggested by the hammer principle (when you only have a hammer, you want everything in your hand to be a nail) is an awkward approach at best and a caricatural one at worst. This brings challenges to the design, development, implementation and deployment of a Decision Support System able to choose a method that is appropriate for a given problem and to apply the chosen method to solve the problem under consideration. The choice of method should be made according to the structure of the problem and the decision maker's opinion. The aim here is to embed a sample of methods representing the main multi-objective programming techniques and to help the decision maker find the most appropriate method for his problem. / Decisions Sciences / M. Sc. (Operations Research )

Text in Afrikaans / Summaries in Afrikaans and English / Die doel van hierdie studie was om die verwantskap tussen persoonlikheidstipes en 'n salutogeniese konstruk naamlik sin vir koherensie te ondersoek. Persoonlikheid is vanuit 'n behavioristiese sowel as humanistiese paradigma ondersoek en sin vir koherensie vanuit 'n salutogeniese paradigma. Die studie is uitgevoer onder middelvlak bestuurders in 'n finansiele instelling waarvan die totale populasie in 'n gegewe geografiese gebied betrek is. Twee meetinstrumente, naamlik die lewensorientasievraelys (OLQ) en die Myers-Briggs tipe indikator (MBTI) is gebruik op die populasie van 57 bestuurders. Pearson produkmoment-korrel asiekoeffisiente is bereken en 'n variansie-ontleding is gedoen. Die resultate van hierdie studie toon dat daar nie 'n beduidende verband is tussen persoonlikheidstipes en sin vir koherensie nie. Die aanname word gemaak dat 'n verwantskap tussen die twee konstrukte moontlik gevind kan word indien 'n meer geografies verspreide en heterogene proefgroep gebruik word waarin al die persoonlikheidstipes verteenwoordig is. / The purpose of this study was to investigate the relationship between personality types a11d a salutogenic construct, namely sense of coherence. Personality has been investigated from a behaviouristic as well as a humanistic paradigm and sense of coherence from a salutogenic paradigm. This study has been done on persons on middle management level in a financial institution of which the total population has been approached in a given geographical area. Two measuring instruments, namely the Orientation To Life Questionnaire (OLQ) and the Myers-Briggs Type Indicator (MBTI) have been used on the population of 57 managers. Pearson product moment correlation coefficient has been calculated and a variation analysis has been done. The results of this study show that there is no significant relation between personality types and sense of coherence. It is supposed that a relationship between the two constructs might be found if a more heterogenic and geographically spread experimental group is used in such a way that all the personality types are represented. / Psychology / M.A. (Bedryfsielkunde)

In this thesis, we present and analyze three algorithms that are designed to make computer simulation more efficient, valid, and/or applicable. The first algorithm uses simulation cloning to enhance efficiency in transient simulation. Traditional simulation cloning is a technique that shares some parts of the simulation results when simulating different scenarios. We apply this idea to transient simulation, where multiple replications are required to achieve statistical validity. Computational savings are achieved by sharing some parts of the simulation results among several replications. We improve the algorithm by inducing negative correlation to compensate for the (undesirable) positive correlation introduced by sharing some parts of the simulation. Then we identify how many replications should share the same data, and provide numerical results to analyze the performance of our approach. The second algorithm chooses a set of best systems when there are multiple candidate systems and multiple objectives. We provide three different formulations of correct selection of the Pareto optimal set, where a system is Pareto optimal if it is not inferior in all objectives compared to other competing systems. Then we present our Pareto selection algorithm and prove its validity for all three formulations. Finally, we provide numerical results aimed at understanding how well our algorithm performs in various settings. Finally, we discuss the estimation of input distributions when theoretical distributions do not provide a good fit to existing data. Our approach is to use a quasi-empirical distribution, which is a mixture of an empirical distribution and a distribution for the right tail. We describe an existing approach that involves an exponential tail distribution, and adapt the approach to incorporate a Pareto tail distribution and to use a different cutoff point between the empirical and tail distributions. Then, to measure the impact, we simulate a stable M/G/1 queue with a known inter-arrival and unknown service time distributions, and estimate the mean and tail probabilities of the waiting time in queue using the different approaches. The results suggest that if we know that the system is stable, and suspect that the tail of the service time distribution is not exponential, then a quasi-empirical distribution with a Pareto tail works well, but with a lower bound imposed on the tail index.

Understanding how temperature affects biological systems is a central question in ecology and evolutionary biology. Anthropogenic climate change adds urgency to this topic, as the demise or success of species under climate change is expected to depend on how temperature affects important aspects of organismal performance, such as growth, development, survival and reproduction. Rates of biological processes generally increase with increasing temperature up to some maximal temperature. Variation in the slope of the initial, rising phase has attracted considerable interest and forms the focus of this thesis. I explore variation in growth rate-temperature relationships over several levels of biological organization, both between and within species, over individuals’ lifetime, depending on the ecological context and in relation to important life history characteristics such as generation length and winter dormancy.       Specifically, I examine how a clade of temperate damselflies have adapted to their thermal environment along a 3,600 km long latitudinal transect spanning from Southern Spain to Northern Sweden. For each of six species, I sampled populations from close to the northern and southern range margin, as well from the center of the latitudinal range. I reared larvae in the laboratory at several temperatures in order to measure indiviudal growth rates. Very few studies of thermal adaptation have employed such an extensive sampling approach, and my finding reveal variation in temperature responses at several levels of organization.       My main finding was that temperature responses became steeper with increasing latitude, both between species but also between latitudinal populations of the same species. Additional genetic studies revealed that this trend was maintained despite strong gene flow. I highlight the need to use more refined characterizations of latitudinal temperature clines in order to explain these findings. I also show that species differ in their ability to acclimate to novel conditions during ontogeny, and propose that this may reflect a cost-benefit trade-off driven by whether seasonal transitions occur rapidly or gradually during ontogeny.       I also carried out a microcosm experiment, where two of the six species were reared either separately or together, to determine the interacting effects of temperature and competition on larval growth rates and population size structure. The results revealed that the effects of competition can be strong enough to completely overcome the rate-depressing effects of low temperatures. I also found that competition had stronger effects on the amount of variation in growth rates than on the average value.       In summary, my thesis offers several novel insights into how temperature affects biological systems, from individuals to populations and across species’ ranges. I also show how it is possible to refine our hypotheses about thermal adaptation by considering the interacting effects of ecology, life history and environmental variation.

In a developing oil-based economy like Libya the availability of finance is largely affected by the availability of oil revenues which are subjected to disturbances and shocks. Therefore, the decision to save and invest a certain ratio of the country's aggregate output is, to large extent, determined (and affected) by the shocks in the oil markets rather than the requirements of economic development. In this study an attempt is made to determine the optimal rate of saving and investment, both defined as a ratio of the aggregate output, according to the requirements of economic development. For this purpose, a neo-classical Ramsey-type model for Libya is constructed and applied to obtain theoretically and empirically the optimal saving and investment rate during the period (1965-1991). The results reveal that Libya was investing over the optimal level during the oil boom of 1970s and less than the optimal level during the oil crisis of 1980s. In addition, an econometric investigation of the determinants of actual investment by sector (agriculture, non-oil industry, and services) is carried out in order to shed lights on how possible it is for Libya to adjust actual investment towards its optimal level. It is found that, as expected, the most important factor which can be used in this respect is the oil revenues or, generally, the availability of finance. In addition, the study reveals that investment in agriculture is associated, during the period of study, with a very low marginal productivity of capital whereas marginal productivity was higher in both non-oil industry and services. Finally, the study investigates also the future potential saving and investment rates and concludes that the economy, which has already reached its steady state, can be pushed out towards further growth if the economy can be able to increase the level of per worker human capital, proxied by the secondary school enrolment as a percentage of population.

We propose a new method to perform functional principal component analysis (FPCA) for discretely observed functional data by solving successive optimization problems. The new framework can be applied to both regularly and irregularly observed data, and to both dense and sparse data. Our method does not require estimates of the individual sample functions or the covariance functions. Hence, it can be used to analyze functional data with multidimensional arguments (e.g. random surfaces). Furthermore, it can be applied to many processes and models with complicated or nonsmooth covariance functions. In our method, smoothness of eigenfunctions is controlled by directly imposing roughness penalties on eigenfunctions, which makes it more efficient and flexible to tune the smoothness. Efficient algorithms for solving the successive optimization problems are proposed. We provide the existence and characterization of the solutions to the successive optimization problems. The consistency of our method is also proved. Through simulations, we demonstrate that our method performs well in the cases with smooth samples curves, with discontinuous sample curves and nonsmooth covariance and with sample functions having two dimensional arguments (random surfaces), repectively. We apply our method to classification problems of retinal pigment epithelial cells in eyes of mice and to longitudinal CD4 counts data. In the second part of this dissertation, we propose a sparse Fisher’s discriminant analysis method with thresholded linear constraints. Various regularized linear discriminant analysis (LDA) methods have been proposed to address the problems of the LDA in high-dimensional settings. Asymptotic optimality has been established for some of these methods when there are only two classes. A difficulty in the asymptotic study for the multiclass classification is that for the two-class classification, the classification boundary is a hyperplane and an explicit formula for the classification error exists, however, in the case of multiclass, the boundary is usually complicated and no explicit formula for the error generally exists. Another difficulty in proving the asymptotic consistency and optimality for sparse Fisher’s discriminant analysis is that the covariance matrix is involved in the constraints of the optimization problems for high order components. It is not easy to estimate a general high-dimensional covariance matrix. Thus, we propose a sparse Fisher’s discriminant analysis method which avoids the estimation of the covariance matrix, provide asymptotic consistency results and the corresponding convergence rates for all components. To prove the asymptotic optimality, we provide an asymptotic upper bound for a general linear classification rule in the case of muticlass which is applied to our method to obtain the asymptotic optimality and the corresponding convergence rate. In the special case of two classes, our method achieves the same as or better convergence rates compared to the existing method. The proposed method is applied to multivariate functional data with wavelet transformations.

Ce mémoire de maîtrise traite de la théorie de la ruine, et plus spécialement des modèles actuariels avec surplus dans lesquels sont versés des dividendes. Nous étudions en détail un modèle appelé modèle gamma-omega, qui permet de jouer sur les moments de paiement de dividendes ainsi que sur une ruine non-standard de la compagnie. Plusieurs extensions de la littérature sont faites, motivées par des considérations liées à la solvabilité. La première consiste à adapter des résultats d’un article de 2011 à un nouveau modèle modifié grâce à l’ajout d’une contrainte de solvabilité. La seconde, plus conséquente, consiste à démontrer l’optimalité d’une stratégie de barrière pour le paiement des dividendes dans le modèle gamma-omega. La troisième concerne l’adaptation d’un théorème de 2003 sur l’optimalité des barrières en cas de contrainte de solvabilité, qui n’était pas démontré dans le cas des dividendes périodiques. Nous donnons aussi les résultats analogues à l’article de 2011 en cas de barrière sous la contrainte de solvabilité. Enfin, la dernière concerne deux différentes approches à adopter en cas de passage sous le seuil de ruine. Une liquidation forcée du surplus est mise en place dans un premier cas, en parallèle d’une liquidation à la première opportunité en cas de mauvaises prévisions de dividendes. Un processus d’injection de capital est expérimenté dans le deuxième cas. Nous étudions l’impact de ces solutions sur le montant des dividendes espérés. Des illustrations numériques sont proposées pour chaque section, lorsque cela s’avère pertinent. / This master thesis is concerned with risk theory, and more specifically with actuarial surplus models with dividends. We focus on an important model, called the gamma-omega model, which is built to enable the study of both periodic dividend distributions and a non-standard type of ruin. We make several new extensions to this model, which are motivated by solvency considerations. The first one consists in adapting results from a 2011 paper to a new model built on the assumption of a solvency constraint. The second one, more elaborate, consists in proving the optimality of a barrier strategy to pay dividends in the gamma-omega model. The third one deals with the adaptation of a 2003 theorem on the optimality of barrier strategies in the case of solvency constraints, which was not proved right in the periodic dividend framework. We also give analogous results to the 2011 paper in case of an optimal barrier under the solvency constraint. Finally, the last one is concerned with two non-traditional ways of dealing with a ruin event. We first implement a forced liquidation of the surplus in parallel with a possibility of liquidation at first opportunity in case of bad prospects for the dividends. Secondly, we deal with injections of capital into the company reserve, and monitor their implications on the amount of expected dividends. Numerical illustrations are provided in each section, when relevant.

Les modèles d'optimalité postulent que les animaux en quête de ressources utilisent le taux de gain de valeur adaptative pour optimiser plusieurs comportements tels que la répartition du temps lors de l’exploitation d‘un agrégat et l'investissement en progénitures. Bien que la durée de plusieurs comportements doit être régulée, peu d’évidences de la perception du temps sont actuellement disponibles pour les insectes et aucune pour les guêpes parasitoïdes, et ce malgré leur importance en tant que modèles écologiques. De plus, puisque les guêpes parasitoïdes sont poïkilothermes, cette capacité pourrait être affectée par la température. Nous avons supposé que les guêpes parasitoïdes auraient la capacité de percevoir le temps, à la fois de façon prospective (mesure du temps écoulé) et rétrospective (durée d'un événement passé), afin d'optimiser les décisions liées à l'exploitation d’agrégats d’hôtes et à la reproduction. Nous avons également émis l'hypothèse que la température aurait une incidence sur la perception du temps des guêpes parasitoïdes. Pour la mesure prospective du temps, nous avons utilisé la capacité d’apprentissage associatif de Microplitis croceipes (Hymenoptera: Braconidae). Les guêpes ont été entraînées à associer une odeur à la durée d'un intervalle entre des hôtes. Après leur entraînement, elles ont été testées dans un tunnel de vol avec un choix d’odeurs. Les guêpes ont choisi majoritairement l'odeur associée à l'intervalle de temps auquel elles étaient testées. Nous avons également investigué le rôle de la dépense énergétique sur la mesure du temps. Suite à une restriction de mouvement des guêpes pendant l'intervalle de temps entre les hôtes, elles choisissaient aléatoirement dans le tunnel de vol. L'absence de dépense énergétique les aurait rendues incapables de mesurer le temps. La dépense d'énergie est donc un substitut essentiel pour mesurer le temps. Pour la mesure rétrospective du temps, nous avons utilisé le processus d'évaluation de l'hôte de Trichogramma euproctidis (Hymenoptera: Trichogrammatidae). Certains trichogrammes utilisent la durée du transit initial sur l'œuf hôte afin d’en évaluer la taille et d’ajuster le nombre d’œufs à y pondre. Nous avons augmenté artificiellement la durée de transit initiale de T. euproctidis en suspendant l'œuf hôte pour le faire paraître plus gros qu'un œuf de taille similaire. Une augmentation de la durée de transit initiale a augmenté la taille de la ponte. Ceci démontre la capacité de T. euproctidis de mesurer la durée du transit initial, et donc d’une mesure du temps rétrospective. Pour déterminer si la température modifie la mesure du temps dans les espèces poïkilothermes, nous avons utilisé le comportement d’exploitation d’agrégats d’hôtes de T. euproctidis. Les modèles d’optimalités prédisent que les guêpes devraient rester plus longtemps et quitter à un faible taux de gain de valeur adaptative suite à un déplacement de longue durée plutôt que pour un déplacement de courte durée. Nous avons testé l'impact d'un déplacement de 24 h à différentes températures sur l'exploitation d’agrégats d’hôtes. Un déplacement à température chaude augmente le temps de résidence dans l’agrégat et diminue le taux de gain de valeur adaptative au moment de quitter ; ces comportements sont associés à un trajet de longue durée. L'inverse a été observé lors d’un déplacement à une température froide. Les températures chaude et froide ont modulé la mesure du temps en accélérant ou ralentissant l'horloge biologique, faisant paraître le déplacement respectivement plus long ou plus court qu’il ne l’était réellement. Ces résultats démontrent clairement que les guêpes parasitoïdes ont la capacité de mesurer le temps, autant rétrospectivement que prospectivement. Des preuves directes de leur capacité sont maintenant disponibles pour au moins deux espèces de guêpes parasitoïdes, une composante essentielle des modèles d'optimalité. Le rôle de la dépense énergétique dans la mesure du temps a aussi été démontré. Nos résultats fournissent également la preuve de l'impact de la température sur la perception du temps chez les insectes. L'utilisation de la dépense énergétique en tant que proxy pour mesurer le temps pourrait expliquer une partie de sa thermosensibilité, puisque les guêpes parasitoïdes sont poïkilothermes. Cette mesure du temps sensible à la température pourrait affecter des stratégies de lutte biologique. Sur le terrain, au début de la journée, la température de l'air sera similaire à la température de l'air autour des plantes infestées par des parasites, alors qu'elle sera plus chaude pendant la journée. En lutte biologique augmentative, les guêpes parasitoïdes libérées resteraient plus longtemps dans les agrégats d’hôtes que celles relâchées en début de journée. / Optimality models assume that animals foraging for resources use the rate of fitness gain to optimize several behaviours such as patch time allocation and progeny investment. Although the duration of multiple behaviors needs to be regulated, few evidence of time perception are currently available for insects and none for parasitic wasps, despite their importance as ecological models. This capacity to measure time could be affected by temperature, since parasitic wasps are poikilotherms. We hypothesized that parasitic wasps should have the capacity to perceive time, both prospectively (measure of elapsed time) and retrospectively (duration of a past event), in order to optimize foraging decisions related to host patch exploitation and reproduction. We also hypothesized that temperature would affect the time perception of parasitic wasps. For the prospective measure of time, we used the associative learning abilities of Microplitis croceipes (Hymenoptera: Braconidae). We trained them to associate an odour to the duration of an interval between hosts. Following their training, they were tested in a wind tunnel. The wasps chose significantly more the odour associated with the test interval they were trained to recognize. We also looked into the role of energy expenditure in the measure of time. When wasps were prevented from moving freely during the interval between hosts, they chose randomly in the wind tunnel. The lack of energy expenditure thus rendered them unable to measure time. Energy expenditure is therefore an essential proxy to measure time. For the retrospective measure of time, we used the host evaluation process of Trichogramma euproctidis (Hymenoptera: Trichogrammatidae). Trichogramma wasps use the duration of the initial transit on the host egg to evaluate its size and decide how many eggs to lay. We artificially increased the initial transit duration of T. euproctidis by suspending the host egg to make it appear larger than an unsuspended egg of the same size. An increase in initial transit duration increased clutch size in the host. This demonstrates the capacity of T. euproctidis to measure the duration of the initial transit duration, and therefore a retrospective measure of time. To ascertain if temperature modified the measure of time in poikilotherms species, we measured the patch exploitation behaviour of T. euproctidis following intervals at different temperatures. Wasps are expected to stay longer and leave at a lower rate of fitness gain following a long travel duration between host patches than for a short travel. We tested the impact of a 24 h travel duration at different temperatures on patch exploitation. An increase in temperature during travel time increased patch residence time and decreased the rate of fitness gain at departure, both of which are associated to an increase in travel time. The reverse was observed when travel occurred at a lower temperature. The increase or decrease in temperature affected the measure of time by speeding or slowing the clock respectively and making the travel appear longer or shorter than it actually was. Our results clearly show that parasitic wasps are able to measure time, both retrospectively and prospectively. There is now solid evidence that at least two species of parasitic wasps possess the capacity to measure time, an essential component of optimality models. We now also have evidence that energy expenditure is one of the proxies used to measure time. Our results are also the first evidence of the impact of temperature on time perception in insects. The use of energy expenditure as a proxy to measure time could explain some of its thermal-sensitivity, since parasitic wasps are poikilotherms. This temperature sensitive measure of time could affect biological control strategies. In augmentative biological control, releasing parasitic wasps during the day could lead to a higher level of patch exploitation than early in the day because of the temperature gradient between the air and the plants.

Esta tese é um estudo acerca do Problema de Equilíbrio de Nash Generalizado (GNEP). Na primeira parte, faremos um resumo dos principais conceitos sobre GNEPs, a relação com outros problemas já conhecidos e comentaremos brevemente os principais métodos já feitos até esta data para resolver numericamente este tipo de problema. Na segunda parte, estudamos condições de otimalidade e condições de qualificação (CQ) para GNEPs, fazendo uma analogia como em otimização. Estendemos os conceitos de cone tangente, normal, gerado pelas restrições ativas, linearizado e polar para a estrutura dos GNEPs. Cada CQ de otimização gera dois tipos de CQ para GNEPs, sendo que a denotada por CQ-GNEP é mais forte e útil para a análise de algoritmos para GNEPs. Mostramos que as condições de qualificação para GNEPs deste tipo em alguns casos não guardam a mesma relação que em otimização. Estendemos também o conceito de Aproximadamente Karush-KuhnTucker (AKKT) de otimização para GNEPs, o AKKT-GNEP. É bem conhecido que AKKT é uma genuína condição de otimalidade em otimização, mas para o caso dos GNEPs mostramos que isto não ocorre em geral. Por outro lado, AKKT-GNEP é satisfeito, por exemplo, em qualquer solução de um GNEP conjuntamente convexo, desde que seja um equilíbrio bvariacional. Com isso em mente, definimos um método do tipo Lagrangiano Aumentado para o GNEP usando penalidades quadráticas e exponenciais e estudamos as propriedades de otimalidade e viabilidade dos pontos limites de sequências geradas pelo algoritmo. Finalmente alguns critérios para resolver os subproblemas e resultados numéricos são apresentados. / This thesis is a study about the generalized Nash equilibrium problem (GNEP). In the first part we will summarize the main concepts about GNEPs, the relationship with other known problems and we will briefly comment on the main methods already done in order to solve these problems numerically. In the second part we study optimality conditions and constraint qualification (CQ) for GNEPs making an analogy with the optimization case. We extend the concepts of the tangent, normal and generated by the active cones, linear and polar cone to the structure of the GNEPs. Each optimization CQ generates two types of CQs for GNEPs, with the one called CQ-GNEP being the strongest and most useful for analyzing the algorithms for GNEPs. We show that the qualification conditions for GNEPs of this type in some cases do not have the same relation as in optimization. We also extend the Approximate Karush- Kuhn-Tucker (AKKT) concept used in optimization for GNEPs to AKKT-GNEP. It is well known that AKKT is a genuine optimality condition in optimization but for GNEPs we show that this does not occur in general. On the other hand, AKKT-GNEP is satisfied, for example, in any solution of a jointly convex GNEP, provided that it is a b-variational equilibrium. With this in mind, we define Augmented Lagrangian methods for the GNEP, using the quadratic and the exponential penalties, and we study the optimality and feasibility properties of the sequence of points generated by the algorithms. Finally some criteria to solve the subproblems and numerical results are presented.