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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.
To learn more about optimization techniques, see [[<span style="color: red;">'''LINK'''</span>/0290_Optimization/22-9001_UnderstandingOpt.html name=""; Understanding_Optimization|Understanding Optimization]]
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# 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.
# Set the Genetic Algorithm properties. For information on GA properties, see [[<span style="color: red;">'''LINK'''</span>/0290_Optimization/22-9001_UnderstandingOpt.html name="1"; Understanding_Optimization#Understanding Genetic Algorithm Optimization|Understanding Genetic Algorithm Optimization]]
# Click '''OK''' to run the optimization and generate the Optimization Report.
