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A Genetic Algorithm to Solve Power System Expansion Planning With Renewable Energy Lourdes Martínez Villaseñor
Disciplina: Ingeniería y tecnología/Computación y Ciencias de la Información Tipo de contenido: Ponencia
Resumen:
In this paper, we presented a genetic algorithm approach to solve the complex G&TEP problem to avoid high computational costs. A strategy to handle infeasibility of the chromosomes is proposed to guide the evolution of the generations improving the performance of the genetic algorithm.