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'''Genetic Algorithms''' optimization evaluates only the more promising combinations, finding near-optimum solutions in a fraction of time that would be required by the brute-force approach, making Genetic Algorithm optimization powerful enough to analyze strategies with hundreds of parameters. Genetic Optimizer settings add flexibility to this technique. | '''Genetic Algorithms''' optimization evaluates only the more promising combinations, finding near-optimum solutions in a fraction of time that would be required by the brute-force approach, making Genetic Algorithm optimization powerful enough to analyze strategies with hundreds of parameters. Genetic Optimizer settings add flexibility to this technique. | ||
To learn more about optimization techniques, see [[ | To learn more about optimization techniques, see [[Understanding_Optimization|Understanding Optimization]] | ||
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# Select the best results criteria in the '''Criteria''' list box. | # Select the best results criteria in the '''Criteria''' list box. | ||
# Select '''Ascending''' or '''Descending''' option to sort the output in ascending or descending order, respectively. | # Select '''Ascending''' or '''Descending''' option to sort the output in ascending or descending order, respectively. | ||
# Set the Genetic Algorithm properties. For information on GA properties, see [[ | # Set the Genetic Algorithm properties. For information on GA properties, see [[Understanding_Optimization#Understanding Genetic Algorithm Optimization|Understanding Genetic Algorithm Optimization]] | ||
# Click '''OK''' to run the optimization and generate the Optimization Report. | # Click '''OK''' to run the optimization and generate the Optimization Report. | ||