Originally posted by: KeerthivasanC

I have the following data for a scheduling problem:

df_project

Project	Teams Needed
A	6
B	4
C	5
D	2
E	1

 

df_timeperiod

Time Period	Max. Teams Allowed
TP1	2
TP2	4
TP3	6
TP4	8

 

Here is what I have coded so far:

 

project = []

project = list(df_project['Project'])

 

TP1 = m.integer_var_dict(name = "TP1",keys=project)
TP2 = m.integer_var_dict(name = "TP2",keys=project)
TP3 = m.integer_var_dict(name = "TP3",keys=project)
TP4 = m.integer_var_dict(name = "TP4",keys=project)

 

m.add_constraint(TP1['A'] + TP2['A'] + TP3['A'] + TP4['A'] == 6)
m.add_constraint(TP1['B'] + TP2['B'] + TP3['B'] + TP4['B'] == 4)
m.add_constraint(TP1['C'] + TP2['C'] + TP3['C'] + TP4['C'] == 5)
m.add_constraint(TP1['D'] + TP2['D'] + TP3['D'] + TP4['D'] == 2)
m.add_constraint(TP1['E'] + TP2['E'] + TP3['E'] + TP4['E'] == 6)

 

m.add_constraint(TP1['A'] + TP1['B'] + TP1['C'] + TP1['D'] + TP1['E'] == 2)
m.add_constraint(TP2['A'] + TP2['B'] + TP2['C'] + TP2['D'] + TP2['E'] == 4)
m.add_constraint(TP3['A'] + TP3['B'] + TP3['C'] + TP3['D'] + TP3['E'] == 6)
m.add_constraint(TP4['A'] + TP4['B'] + TP4['C'] + TP4['D'] + TP4['E'] <= 8)

 

I also want to make sure that [TP1[i] for i in project] takes values from this list - [0,0.5,1,1.5,2] given TP1 can't have more than 2 teams assigned to it. set_domain is only possible for integer variables as I understand. So, is there a way to do this?

 

Coming to my main question, how I can generate a large number of feasible solutions to this problem? I would appreciate a code snippet which uses solution pool to do this.

 

 

Thanks.

#CPLEXOptimizers
#DecisionOptimization

Hi,

in https://www.linkedin.com/pulse/making-optimization-simple-python-alex-fleischer/

have you had a look at the example solution pools

https://www.ibm.com/developerworks/community/forums/html/topic?id=1aef661d-596b-4dca-964c-8c3917ded017&ps=25

?

regards

#CPLEXOptimizers
#DecisionOptimization

Originally posted by: KeerthivasanC

Hey Alex
Thanks for the reply. I did the see that post and your answer on Stackoverflow as well on the same topic. I am having trouble doing the same for my constraint programming object. Both the posts refer to integer programming solution pools. And one more question:

 

Let' say I want my continuous decision variable to take values only from the list - [0,0.5,1,1.5,2]. How would I code this? 

#CPLEXOptimizers
#DecisionOptimization

then maybe ask the same in the dedicated forum : https://www.ibm.com/developerworks/community/forums/html/forum?id=11111111-0000-0000-0000-000000002066

regards

#CPLEXOptimizers
#DecisionOptimization