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linear-programmingmixed-integer-programmingscip

How to copy a solution of a PySCIPOpt model to another model?

Given a pyscipopt.Model and its Solution, how to pass it to another model as a primal heuristic?

I'm currently writing the solution to a file via writeSol(), and then calling readSolFile() and addSol(). There should probably be a cleaner way.

Solution

  • This depends a bit on the structure of your two models. If they have the same variables in the same order (which is likely from what you wrote), then you can simply create a new solution in your model and copy all the values, ie:

    variables = othermodel.getVars()
newvariables = model.getVars()
nvars = othermodel.getNVars()

newsol = self.model.createSol(self)

for i in range(nvars):
   newsol[newvariables[i]] = othermodel.getSolVal(oldsol, variables[i])

self.model.trySol(newsol)

    Let me know if this work/ doens't work