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Algoritmo Evolutivo Eficiente Aplicado a la Planeación de la Expansión de Sistemas de DistribuciónDOI: 10.4067/S0718-07642012000400002 Keywords: distribution system planning, evolutionary algorithms, genetic algorithms, optimization. Abstract: the optimization of the expansion planning of the real distribution system in the city of medellin in colombia, is analyzed in this work. the distribution system has 155 nodes and 154 branches at a voltage level of 13200 volts. efficient evolutionary algorithms are applied, with the purpose of observing their improvements and performance when compared with conventional evolutionary algorithms. besides, a mono-stage and mono-objective distribution planning model, which objective function is the optimization of construction costs and technical losses of the system is also studied. finally, the impact of specially designed efficient operators for optimization is discussed and the estimated costs are analyzed.
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