The GA (or the way in which the GA has been parametrized) is performing bad when the samples are drawn from a larger enhanced set. This was not noticed previously when the prior contained 75 MC replicas and the GANs generated 25 synthetic replicas. This is a combinatorial issue.
As an illustration, I took a prior with 100 MC replicas and generated 900 synthetics (the enhanced set is of the total of 1000 replicas), the final ERF values when the compressed samples (compressed to 80 replicas) are drawn from either the prior or the enhanced are given in the table below:
| Compressed Samples |
Prior |
Enhanced |
| TOT ERF |
0.172 |
0.453 |
The total ERF value from the enhanced should be at most equal to 0.172. This indicates the GA is trapped in some local minimum.
The GA (or the way in which the GA has been parametrized) is performing bad when the samples are drawn from a larger enhanced set. This was not noticed previously when the prior contained 75 MC replicas and the GANs generated 25 synthetic replicas. This is a combinatorial issue.
As an illustration, I took a prior with 100 MC replicas and generated 900 synthetics (the enhanced set is of the total of 1000 replicas), the final ERF values when the compressed samples (compressed to 80 replicas) are drawn from either the prior or the enhanced are given in the table below:
The total ERF value from the enhanced should be at most equal to 0.172. This indicates the GA is trapped in some local minimum.