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Ray based map function for Deap with examples. Automatically batches iterator to multiple workers for many processors or clusters.

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when i tried to run symbreg_ray.py in my ray cluster, below errors occures: AttributeError: Can't get attribute 'rand101' on any suggestions? @DMTSource

It's mentioned in worker. get that this method will issue a warning if it's running inside async context. The problem I encounter is likely to be caused by this reason....

Testing the 2 examples, comparing to standard map vs 4 ray workers. Map is much faster with default example(as expected due to overhear?). Arbitrability adding a loop to the eval...

enhancement