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DESign OPTimization in PYthon
Using the pyOpt version of NSGAII (NSGA2) results in an error with a population size fewer than 100. pyOpt or DesOptPy problem. Problem also in Windows?
The following will be used in next version for the graphs produced in ResultsReports:
if Alg in ["MMA", "FFSQP", "FSQP", "GCMMA", "CONMIN", "SLSQP", "PSQP", "KSOPT", "ALGENCAN", "NLPQLP", "IPOPT"]:
LabelItEval = "Iteration"
elif Alg == "NSGA2":
LabelItEval = "Generation"
elif Alg[:5] == "PyGMO":
LabelItEval = "Evaluation"
else:
LabelItEval = "Evaluation"
Something of this nature shall be done for StatusReports.
This shows the wrong results and needs to be checked.
Gives then problem in status and result reports
In the algorithms of pyOpt only iteration (or generation) values. PyGMO algorithms plot all evaluation data.
This should be uniform!
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