Tagged: optimization, workbench
March 6, 2023 at 8:57 amMd_SalemSubscriber
I am using MOGA (Multi-Objective Genetic Algorithm) optimizer offered by Workbench 22R1, is it any relation between number of parameters to be optimized and the number of samples per generation ? is it any charts that can help giving the lowest number of samples with best convergence built on that criteria ?
March 8, 2023 at 2:02 pmNanda VerallaAnsys Employee
In the ansys help manual, there is a general recommendation for the initial amount of samples to use. This quantity must be higher than the total number of input parameters that are active. Ten times the total number of permitted input parameters is the minimum suggested number of first samples. Your odds of locating the input parameter space containing the best solutions increase with the size of the initial sample set.
For more information on using MOGA optimization, have a look at these links.
Multi-Objective Genetic Algorithm (MOGA) (ansys.com)
Performing a MOGA Optimization (ansys.com)
Thanks and Regards,
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