how to handle mixed-integer programming (MIP) problems with the glpk, cplex or/and gurobi solvers in python/with cobrapy?

[helehera]

in matlab/cobra toolbox, I have use the functions glpk, cplexmilp and gurobi_mex to solve the following problems: % Solve problem [x, f, stat, extra] = glpk(c, A, b, lb, ub, csense, vartype, osense, solverParams)

        [x, f, exitflag, output] = cplexmilp(c, Aineq, bineq, MILPproblem.A, b, lb, ub, vartype);

    [x,f,stat,output] = gurobi_mex(c,osense,sparse(A),b, ...
        csense,lb,ub,vartype,opts);

How do I solve the problems in python/cobrapy?

[Midnighter]

Is your question, how to change the solver backend?

[Midnighter]

There are some MILP implemented. But if you are talking about defining your own problem you need to get familiar with optlang. That is what cobrapy uses underneath.

[Midnighter]

Minimizing a medium's components is an MILP, for example.