Esta investigación nace de observar la realidad del centro turístico Baños del Inca, ya que se desconocen la existencia de microorganismos termófilos como los son los ostrácodos; pequeños crustáceos que habitan en espacios acuáticos, por esto se quiere determinar si existe relación entre la temperatura en la abundancia poblacional de la especie termófila de la clase ostrácodo en los ecosistemas hidrotermales de Baños del Inca. Se realizó una investigación con un diseño No Experimental, Transversal, Correlacional-causal en el cual se tomaron muestra de cinco puntos distintos donde se midió la temperatura en grados Celsius; utilizándose la guía de muestreo de macro invertebrados para tomar puntos al azar. Siendo así que se obtuvo como resultados una población de ostrácodos con una correlación positiva respecto a la temperatura donde cada individuo fue contabilizado co...

This paper proposes a procedure to minimize electrical losses present in industrial systems, through a specific program developed for this purpose, based on Genetic Algorithm, and written using MATLAB instructions.The minimization is realized with the placement of shunt capacitors connected to the buses. For validation of the proposed method, it is considered accuracy and speed, and the developed program´s results are compared with the results produced by traditional programs. The program avoids leading power factor at the bus connected with the power distribution company and the user may determine buses where he does not want the installation of capacitors. The Genetic Algorithm's fitness, responsible for guiding the optimization process, is the active power loss. Finally,  the program is applied to minimize active losses present at an industrial system, 38 buses.

This paper proposes a procedure to minimize electrical losses present in industrial systems, through a specific program developed for this purpose, based on Genetic Algorithm, and written using MATLAB instructions.The minimization is realized with the placement of shunt capacitors connected to the buses. For validation of the proposed method, it is considered accuracy and speed, and the developed program´s results are compared with the results produced by traditional programs. The program avoids leading power factor at the bus connected with the power distribution company and the user may determine buses where he does not want the installation of capacitors. The Genetic Algorithm's fitness, responsible for guiding the optimization process, is the active power loss. Finally,  the program is applied to minimize active losses present at an industrial system, 38 buses.