From: Karan S. <kar...@gm...> - 2016-12-02 01:25:16
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Hello all, I'm working on a large (80K - 150K binary variables) general assignment problem with a few constraints & preferences. I am attempting to assign workers to shifts. The library has been working well for me, but I recently ran into heap space issue. I found that with 5000 variables, I require 2GB of heap space, and with 8000 variables, I require 4GB of heap space. This problem may scale in the future, so I'd like to limit heap space. Does anyone have any suggestions? I'd be happy with a slower solution, if there's a way to perhaps use less space. Thanks, Karan |