Multiprocessing single algorithm on single problem about platypus HOT 3 CLOSED

Try parallelizing this way: https://github.com/Project-Platypus/Platypus/blob/master/examples/simple_parallel.py

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Hi, @dhadka
Thank you for your demo.
I also try to run the single algorithm in parallel to accelerate it, but I don't clearly understand the way you define the DTLZ2_Slow.

class DTLZ2_Slow(DTLZ2):
    
    def evaluate(self, solution):
        sum(range(1000000))
        super(DTLZ2_Slow, self).evaluate(solution)

Could you explain a little bit what sum and super sentences exactly do here?
Besides, we set the algorithm run 10000 times and set 4 the evaluator, so the algorithm run 40000 times? Or 4 evaluators finish the 10000 times iterators together?

Thank you in advance.
Hanwei

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