Originally posted by: Sothea
In fact my problem above related to time step. It concerns Irrigation scheduling. So the variables decisions depend on time step (dt). For example i would like optimise a schedule for one day, i decide dt=1h, so number of time step = 24. For the same problem, i decide dt=15 mn, the number of time step incresse to 96. I would like to show that for the same problem, the variables decision can increase or reduce up on dt.
For the problem above, i use dt too small. But when i increase dt and i execute agrain the problem, i got the result.
QPSOLVER: OK changed problem type to CPXPROB_MIQP
QPSOLVER: # of variables: 312
# of constraints: 766
# of nonzero elements in constraint matrix: 2782
QPSOLVER: Cplex Version 12.3
QPSOLVER: Initiating QP MIP solution...
QPSOLVER: Other problem = 102
X Optimum=
obj=0.32535
I dont understand in the messsage " other problem 102", what does it mean? Does the problem above is caused by number of varaible and contraints which are too big?
To get the result for 312 variables and 766 constraint, running time is about 30 mn (capacity marchine : 2duo CPU P8700 @2.53GHz and memory 2Go). Is it normal? How can we reduce running time?
Thanks in advance for your answering.
Sothea
#CPLEXOptimizers#DecisionOptimization