In your experience, how does Distributed Evolutionary Algorithms in Python (DEAP) compare against inspyred (formerly ecspy) for multiobjective optimization?

I'm presently evaluating both frameworks with a view to committing to one for a problem/project.

Edit

Initial impressions: DEAP implements the NSGA-II and SPEA2, wheras inspyred implements the NGGA-II only. inspyred however seems to be easier of the two to use.

asked 27 Oct '12, 15:38

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Olumide
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edited 11 Nov '12, 15:33


There's PYGMO too.

Edit

PYGMO supports NSGA-II only.

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answered 30 Oct '12, 22:31

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Olumide
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edited 11 Nov '12, 15:32

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Asked: 27 Oct '12, 15:38

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