Decision Optimization

Let 'I' is the set of machines and 'P' is the set of periods. In different periods there are different numbers of jobs to process (let's say 5 jobs for each period). I want to solve this problem for each i in I and p in P in the loop and also obtain the extreme ray. After solving the problem for a particular i and p, when I call extreme ray I am getting extreme rays for all variables while I want extreme rays for that particular i and p.

One possible solution in my mind is to keep variables related to only that i and p in the model and remove (or delete) all other variables from the model. 

In cplex module there is a method: model.variables.delete() to delete variables. But it is not working with docplex. 

Any alternate or other methods to get rid of the above concern?

Thanks!

------------------------------
MOHAMMAD SAMIULLAH
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#DecisionOptimization

There's no delete/remove method in docplex. If you want to get rid of some specific variables in a model, I see 2 options:
* Build the model with docplex and all variables, then get access to the underlying cplex object with the `get_cplex` method. All docplex objects have a `_index` field which correspond to the cplex index. Delete the variables with `cplex.variables.delete` method. At this point, only use the cplex module: some docplex objects will become dandling pointers.
* Another way: the variable object in docplex have a `iter_constraints` method. So collect all the constraints for all the variables to remove. Then iterate on those constraints, and on the left and right expression, call the `set_coefficient` method to set a 0 coef to remove the var?​

------------------------------
Vincent Beraudier
------------------------------

Original Message:
Sent: Wed November 23, 2022 08:53 AM
From: MOHAMMAD SAMIULLAH
Subject: How to remove defined variables from the docplex model

Let 'I' is the set of machines and 'P' is the set of periods. In different periods there are different numbers of jobs to process (let's say 5 jobs for each period). I want to solve this problem for each i in I and p in P in the loop and also obtain the extreme ray. After solving the problem for a particular i and p, when I call extreme ray I am getting extreme rays for all variables while I want extreme rays for that particular i and p.

One possible solution in my mind is to keep variables related to only that i and p in the model and remove (or delete) all other variables from the model. 

In cplex module there is a method: model.variables.delete() to delete variables. But it is not working with docplex. 

Any alternate or other methods to get rid of the above concern?

Thanks!

------------------------------
MOHAMMAD SAMIULLAH
------------------------------

#DecisionOptimization

To your question <<Let's have three constraints C1, C2, and C3. In one run I want to deactivate constraint second 'C2'. In the other run, I want to keep C2 activated but deactivate C3.>>, I would simply do something like this:

def desactivate_and_solve(mdl, ct):
    #remove the constraint
    mdl.remove(ct)
    s = mdl.solve()
    if s:
        print(mdl.objective_value)
    else:
        print("* model has no solution")
    # put the constraint back
    mdl.add(ct)

------------------------------
Vincent Beraudier
------------------------------

Original Message:
Sent: Wed November 23, 2022 10:42 AM
From: Vincent Beraudier
Subject: How to remove defined variables from the docplex model

There's no delete/remove method in docplex. If you want to get rid of some specific variables in a model, I see 2 options:
* Build the model with docplex and all variables, then get access to the underlying cplex object with the `get_cplex` method. All docplex objects have a `_index` field which correspond to the cplex index. Delete the variables with `cplex.variables.delete` method. At this point, only use the cplex module: some docplex objects will become dandling pointers.
* Another way: the variable object in docplex have a `iter_constraints` method. So collect all the constraints for all the variables to remove. Then iterate on those constraints, and on the left and right expression, call the `set_coefficient` method to set a 0 coef to remove the var?​

------------------------------
Vincent Beraudier

Original Message:
Sent: Wed November 23, 2022 08:53 AM
From: MOHAMMAD SAMIULLAH
Subject: How to remove defined variables from the docplex model

Let 'I' is the set of machines and 'P' is the set of periods. In different periods there are different numbers of jobs to process (let's say 5 jobs for each period). I want to solve this problem for each i in I and p in P in the loop and also obtain the extreme ray. After solving the problem for a particular i and p, when I call extreme ray I am getting extreme rays for all variables while I want extreme rays for that particular i and p.

One possible solution in my mind is to keep variables related to only that i and p in the model and remove (or delete) all other variables from the model. 

In cplex module there is a method: model.variables.delete() to delete variables. But it is not working with docplex. 

Any alternate or other methods to get rid of the above concern?

Thanks!

------------------------------
MOHAMMAD SAMIULLAH
------------------------------

#DecisionOptimization