Open adouge opened 4 years ago
The resulting scaling parameter is always almost the same as the starting one.
Possible reason: inconsistent scaling of parameters, i.e. o(geometry) = 10^(-3), o(N*I) = 10^3
Possible fix: have the algorithm optimize in normalized parameters
It seems to also be true for constraints, as constraint violations are weighted differently.
Normalizing constraint weights will also enable the user to "prioritize" characteristics by setting a tighter bound
The resulting scaling parameter is always almost the same as the starting one.
Possible reason: inconsistent scaling of parameters, i.e. o(geometry) = 10^(-3), o(N*I) = 10^3
Possible fix: have the algorithm optimize in normalized parameters