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• W2591896514 abstract "Nowadays, genetic algorithms stand out for airfoil optimisation, due to the virtues of mutation and crossing-over techniques. In this work we propose a genetic algorithm with arithmetic crossover rules. The optimisation criteria are taken to be the maximisation of both aerodynamic efficiency and lift coefficient, while minimising drag coefficient. Such algorithm shows greatly improvements in computational costs, as well as a high performance by obtaining optimised airfoils for Mexico City's specific wind conditions from generic wind turbines designed for higher Reynolds numbers, in few iterations." @default.
• W2591896514 created "2017-03-16" @default.
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• W2591896514 date "2017-01-01" @default.
• W2591896514 modified "2023-10-01" @default.
• W2591896514 title "Evolving aerodynamic airfoils for wind turbines through a genetic algorithm" @default.
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• W2591896514 doi "https://doi.org/10.1088/1742-6596/792/1/012079" @default.
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