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Which among python libraries like pulp and Scipy , has the capability to work with Cplex solver .If we have huge constraints and datasets for optimisation in supply chain .

Badhoria
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  • The former can use cplex, the latter cannot. But you probably should use the python-library coming with cplex itself (there are 2 imho) if you really target *scalability* (or not use python at all). – sascha Jun 07 '20 at 16:04
  • What is a "huge constraint"? Never heard of that concept. – Erwin Kalvelagen Jun 07 '20 at 23:04
  • @ErwinKalvelagen by huge i meant ..if there are constraint in more number .as we have in any real problems – Badhoria Jun 12 '20 at 19:18

1 Answers1

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PuLP is explicitly designed to model (and solve) LPs and it has bindings to use CPLEX under the hood.

You can also use Scipy with CPLEX, just not directly: you can organize your data in scipy and when it comes to creating constraints you can construct them from the data stored in scipy data structures.

Daniel Junglas
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