How to track the solutions for each generation using EpsNSGAII

[tianjingyao]

I tried "algorithm = EpsNSGAII(problem, 0.01, population_size=10) algorithm.run(1000) nondominated_solutions = nondominated(algorithm.result)" it only returned the pareto fronts. How could I obtain the solustion for each generation? I have also tried the code https://github.com/Project-Platypus/Platypus/issues/71#issuecomment-513524660 but it only works for NSGAII. I don't know how to do it for EpsNSGAII

[pmguerre]

You can pass a callback function to the run method:

algorithm.run(1000, callback=foo)

and then create the foo function, that receives an instance of the algorithm. This function will be called after each step in the algorithm. Inside this foo function you can do whatever you want, for instance, save all generations for a later analysis.

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