I found some differences between the generated designs files of Dakota with CAESES 4.4.1 and CAESES 4.1.1. Considering that I am using the same version of Dakota 6.9 for both of them. I also use the same initial population for comparison the results in a multi objective problem.
Previously in CAESES 4.1.1, the generated files of Dakota had the “finaldata1.dat” as output of Pareto designs in the case of using MOGA.
Now in CASESES 4.4.1, the following outputs are observed:
- "run.csv" and "run_best.csv" are added in the output files of Dakota
- The “finaldata1.dat” shows some “nan” for the same evaluated equality constraints. However, in the CAESES 4.1.1, those value are shown as “0”, which means the constraints are passed according to the convention of Dakota.
- These are differences between the individuals in the files of “finaldata1.dat” and “run_best.csv”
So, the below questions come up:
1- Why does CAESES 4.4.1 changes the “finaldata1.dat”?
2- What kind of selection criteria are used for choosing the best designs in the “run_best.csv”? If it tries to copy the individuals in the “finaldata1.dat”, why there are some differences between the designs of the “run_best.csv” and the “finaldata1.dat”?
Thanks in advance