157 research outputs found

    An Experimental Study of Adaptive Control for Evolutionary Algorithms

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    The balance of exploration versus exploitation (EvE) is a key issue on evolutionary computation. In this paper we will investigate how an adaptive controller aimed to perform Operator Selection can be used to dynamically manage the EvE balance required by the search, showing that the search strategies determined by this control paradigm lead to an improvement of solution quality found by the evolutionary algorithm

    Analisis Aplikasi 7p pada USAha Nasi Kuning Air Putri di Ambon

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    Pertumbuhan Usaha Mikro, Kecil, dan Menengah (UMKM) di Indonesia sangat pesat, khususnya di bidang industri makanan. Banyak UMKM yang bermunculan namun tidak banyak yang dapat bertahan dalam jangka waktu panjang karena banyak kendala dan persaingan yang dihadapi. Penelitian ini dilakukan pada Usaha Nasi Kuning Air Putri, sebagai salah satu UMKM di bidang industri makanan. Teknik analisis yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan metode studi kasus. Penulis akan menganalisis segmentasi, dan juga menentukan target pasar serta penentuan posisi dari Nasi Kuning Air Putri. Hasil penelitian menunjukan bahwa USAha ini memerlukan aplikasi 7P yang tepat yang dapat digunakan untuk mengembangkan USAha Nasi Kuning Air Putri. Dalam hal ini rencana program disusun berdasarkan faktor 7P, yaitu product, price, promotion, place, process, people, dan physical evidence

    An Adaptive Neural Network Approach To Predict The Capital Adequacy Ratio

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    Financial institutions, policy makers and regulatory authorities need to implement stress tests in order to test both resilience and the consequences of adverse shocks. The European Central Bank and the European Banking Authority regularly conduct these tests, whose importance is more and more evident after the financial crisis of 2007-2008. The stress tests’ nonlinear features of variables and scenarios triggered the need of general and robust strategies to perform this task. In this paper we want to introduce an adaptive Neural Network approach to predict the Capital Adequacy Ratio (CAR), which is one of the main ratios monitored to retrieve useful information along many stress test procedures. The Neural Network approach is based on a comparison between feed-forward and recurrent networks, and is run after a meaningful pre-processing operations definition. Results show that our approach is able to successfully predict CAR by using both Neural Networks and recurrent networks

    A metaheuristic multi-criteria optimisation approach to portfolio selection

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    Portfolio selection is concerned with selecting from of a universe of assets the ones in which one wishes to invest and the amount of the investment. Several criteria can be used for portfolio selection, and the resulting approaches can be classified as being either active or passive. The two approaches are thought to be mutually exclusive, but some authors have suggested combining them in a unified framework. In this work, we define a multi-criteria optimisation problem in which the two types of approaches are combined, and we introduce a hybrid metaheuristic that combines local search and quadratic programming to obtain an approximation of the Pareto set. We experimentally analyse this approach on benchmarks from two different instance classes: these classes refer to the same indexes, but they use two different return representations. Results show that this metaheuristic can be effectively used to solve multi-criteria portfolio selection problems. Furthermore, with an experiment on a set of instances coming from a different financial scenario, we show that the results obtained by our metaheuristic are robust with respect to the return representation used

    Infancias: instituidos, destitución, acontecimiento

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    El trabajo propone la puesta en práctica de la escucha en las infancias a partir de la revisión de la concepción que la sociedad tiene de ella. A tal efecto se incluye para el análisis el concepto de interseccionalidad y las consecuencias del neoliberalismo en las subjetividades. Se plantea la revisión de los dispositivos sociales  para  dar lugar a la infancia como acontecimiento

    Int J Mycobacteriol

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    Recognized in 1994 as a global emergency by the World Health Organization, tuberculosis (TB) remains an ongoing health threat. In Cameroon, the mortality rate is estimated at 2.9%. Treatment of multidrug-resistant TB (MDR-TB) defined as the resistance to the two most effective antiTB drugs, and requires therapy of more than 7 drugs taken on a daily basis during 9-12 months. This study aimed to evaluate the safety profile of treatment regimens used for MDR-TB at Jamot Hospital of Yaounde (JHY). This was a retrospective cohort study of patients treated for MDR-TB at HJY from January 1, 2017, to December 31, 2019. Patients characteristics of the cohort, drugs regimen were collected and described. All possible adverse drug reactions (ADR) were described clinically and by severity grade. During the study period, 107 patients were included, and 96 (89.7%) experienced at least one ADR. Most parts of the patients (90) experienced mild or moderate ADR. Hearing loss was the most frequent ADR, and led mostly in aminoglycosides dose reduction (n = 30, 96.7%). Gastrointestinal events were commonly observed during the study period. Our findings suggested that ototoxicity was a prominent safety issue during the study period. The implementation of the new short treatment regimen could be effective in reducing the burden of ototoxicity among MDR-TB patients. Nevertheless, new safety issues could emerge.European programme in Pharmacovigilance and Pharmacoepidemiolog

    Analytic Hierarchy Process for classes of economic behavior in the context of intertemporal choices

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    Due to the major crises of the past decade, the need to introduce consumer profiling operations to protect individuals from committing superficial business transactions has been realized in 2014/65/EU Directive. The present paper investigates how consumer behavioral attitudes influence the decision-making process so that the choice results, from a normative point of view, non-rational in the context of intertemporal choice. In addition, the particular focus by European institutions on closing the gender gap in the economic and financial sector motivated this research to enrich the analysis with gender assessments. The study of the relationship between cognitive characteristics and consumer decision making are deepened with a multidisciplinary approach involving mathematics, behavioral finance, temperament theory and multi-criteria analysis.  The results of an experimental investigation confirm that there is not a better temperament or a more adept gender in economic and financial choices

    Distance measures for Portfolio Selection

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    The classical Markowitz approach to the portfolio selection problem (PSP) consists of selecting the portfolio that minimises the return variance for a given level of expected return. By solving the problem for different values of this expected return we obtain the Pareto efficient frontier, which is composed of non-dominated portfolios. The final user has to discriminate amongst these points by resorting to an external criterion in order to decide which portfolio to invest in. We propose to define an external portfolio that corresponds to a desired criterion, and to assess its distance from the Markowitz frontier in market allowing for short-sellings or not. We show that this distance is able to give us useful information about out-of-sample performances. The pursued objective is to provide an operational method for discriminating amongst non-dominated portfolios considering the investors\u2019 preference
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