Examinando por Autor "Gutierrez, S."

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    Conceptual Framework for the Strategic Management: A Literature Review - Descriptive
    (Hindawi Limited, 2020) Fuertes, G.; Alfaro, M.; Vargas, M.; Gutierrez, S.; Ternero, R.; Sabattin, J.
    The objective of this work is to review the literature of the main concepts that lead to determining the strategic approach, creation of strategies, organizational structures, strategy formulation, and strategic evaluation as a guide for the organizational management, taking into account the effects produced by the different types of strategies on the performance of organizations. In this article, the systemic literature review method was used to synthesize the result of multiple investigations and scientific literature. The process of reading and analysis of the literature was carried out through digital search engines with keywords in areas related to the strategic management. This research reveals the lack of scientific literature containing important theoretical concepts that serve the strategists as a guide in the creation, formulation, and evaluation of strategies. This review contributes to the existing literature by examining the impact of the strategic management on the organizational performance.
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    The effect of entropy on the performance of modified genetic algorithm using earthquake and wind time series
    (Hindawi Limited, 2018-08) Vargas, M.; Fuertes, G.; Alfaro, M.; Gatica, G.; Gutierrez, S.; Peralta, M.
    The dynamic complexity of time series of natural phenomena allowed to improve the performance of the genetic algorithm to optimize the test mathematical functions. The initial populations of stochastic origin of the genetic algorithm were replaced using the series of time of winds and earthquakes. The determinism of the time series brings in more information in the search of the global optimum of the functions, achieving reductions of time and an improvement of the results. The information of the initial populations was measured using the entropy of Shannon and allowed to establish the importance of the entropy in the initial populations and its relation with getting better results. This research establishes a new methodology for using determinism time series to search the best performance of the models of optimization of genetic algorithms (GA). Copyright © 2018 Manuel Vargas et al. This is an open access article distributed under the Creative Commons Attribution License