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The scale in optimization
Posted 2017年1月24日 GMT-5 03:45 Optimization Version 5.2a 2 Replies
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I am interested in solving problem of optimization, I'm puzzled about 'Scale' in control variables and parameters set.
I wander how 'Scale' influnets the progress of solving, and how to set this value?
I would greatly appreciate any help.
Thanks
I wander how 'Scale' influnets the progress of solving, and how to set this value?
I would greatly appreciate any help.
Thanks
2 Replies Last Post 2017年1月24日 GMT-5 21:53
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Posted:
8 years ago
Hello,
For numerical reasons, in an optimization problem we want all variables to have roughly the same magnitude, so it is good practice to scale all design variables so that they have similar magnitudes.
For example, if you have an optimization problem with two design variables, Length & Thickness, where:
90 < Length < 110
0.05 < Thickness <0.15
we would apply a scale of 100 to Length, and 0.1 to Thickness. That way, the optimization solver will (internally) solve for the design variables:
0.9 < ScaledLength < 1.1
0.5 < ScaledThickness < 1.5
The latter problem has design variables of similar magnitude, which is better for numerical reasons.
Note also that the objective function and constraint functions should also be scaled such that they are close to unity. For a more detailed example see:
www.comsol.com/blogs/designing-new-structures-with-shape-optimization/
Best Regards,
For numerical reasons, in an optimization problem we want all variables to have roughly the same magnitude, so it is good practice to scale all design variables so that they have similar magnitudes.
For example, if you have an optimization problem with two design variables, Length & Thickness, where:
90 < Length < 110
0.05 < Thickness <0.15
we would apply a scale of 100 to Length, and 0.1 to Thickness. That way, the optimization solver will (internally) solve for the design variables:
0.9 < ScaledLength < 1.1
0.5 < ScaledThickness < 1.5
The latter problem has design variables of similar magnitude, which is better for numerical reasons.
Note also that the objective function and constraint functions should also be scaled such that they are close to unity. For a more detailed example see:
www.comsol.com/blogs/designing-new-structures-with-shape-optimization/
Best Regards,
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Posted:
8 years ago
Thanks for your help Walter！Now the function of scale is very clear by your explanation.
Could you explan how to set the step length of sweep in optimization?
Could you explan how to set the step length of sweep in optimization?