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Either it would generate a more robust (and likely more recognizable) solution, or it would fail to converge, really.

You may need to train on a smaller number of FPGAs and gradually increase the set. Genetic algorithms have been finicky to get right, and you might find that more devices would massively increase the iteration count



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