Platypus
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Use NSGAII com WFG.
I would like to know how I use the NSGAII or NSGAIII algorithm for a WFG class ploblem?
I have tried the way below and have given error.
define the problem definition
problem = WFG1(2)
instantiate the optimization algorithm
algorithm = NSGAIII(problem, divisions_outer=12,variator = SBX(probability = 1.0, distribution_index = 30.0))
optimize the problem using 100,000 function evaluations
algorithm.run(1000)
Thanks for reporting this. There were a few Python 3 compatibility issues. They are now fixed in master.
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