Please see my GitHub for a new Python program that may be of interest. If the link becomes broken in the future, look up the ‘misc_scripts’ repository within ‘jrkasprzyk’ GitHub.
It saves you having to type out a long Borg command when using the ‘command line interface’, especially when there are many many decision variables. The script also contains a simple set of Python objects of interest: Objective contains the name and epsilon of an objective, and Decision contains the name, lower bound, and upper bound of an objective.
You can imagine that this would be able to facilitate complicated MOEA analyses such as random seed analysis, and the running of multiple problems. I have also used this to organize my thoughts when doing other analyses in Python such as sampling of the decision space, and different sorts of processing of MOEA output.