Citas bibligráficas
Álvarez, O., (2014). Sistemas de comunicación utilizando algoritmos genéticos para optimizar procesos [Tesis de segunda especialidad, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/11822
Álvarez, O., Sistemas de comunicación utilizando algoritmos genéticos para optimizar procesos [Tesis de segunda especialidad]. : Universidad Nacional de Ingeniería; 2014. http://hdl.handle.net/20.500.14076/11822
@misc{renati/1747541,
title = "Sistemas de comunicación utilizando algoritmos genéticos para optimizar procesos",
author = "Álvarez Mauricio, Octavio",
publisher = "Universidad Nacional de Ingeniería",
year = "2014"
}
The development of the thesis Research of "Communication Systems Using Genetic Algorithms to Optimize Processes", it has allowed to reach the following conclusions: There is a deficiency in the process time of tasks per processor in the system they are working with traditional algorithms. For example, retard in wait queue, retard in time in processing of tasks, retard answer time, causing an effect of the bottleneck, out of memory, and so on. The central problem is proposed to solve is oriented to growth and development of communication network in an economical and scalable leading to optimal performance. Therefore, there is a need to study the processes of the communication system on the network, so that alternative applies, as "genetic algorithms" to optimize server processes, improve web server processes to improve care customers / users. It has chosen the alternative of "genetic algorithms" to solve the process retard of tasks in the server processor. Genetic algorithms are used as for its natural evolution they serve for to optimize, task processes of the processor. We have implemented a prototype simulator for system with genetic algorithms, to optimize for the communications process. Before the data to process task processes are evaluated: number of process, crossover probability, mutation probability, in queue, served, time-consuming, optimal process results. The data processing time is less than the processing time for conventional data processor, for better use of computer resource.
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