Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms

<table>Search evolution for two runs performed on the same initial population for different mutation rates. The population size is 40 and the crossover rate is <svg height="11.125" id="M96" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 46.637501 11.125" width="46.637501" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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Mathematical Problems in Engineering

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Figure 9

Figure 9: Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms 