can CPLEX, e.g., in python API, solve a problem like max( Sum(log(x)) )? Basically i have a problem with logarithmic ( as simple as log(x) ) objective and linear constraints.
best, Pavlos
then you could use CPOptimizer:
In OPL the following code works fine
using CP;
dvar int x in 0..100000;
dvar int y in 0..100000;
dexpr float ax=1+x/1000;
dexpr float ay=1+y/1000;
minimize log(ax-ay);
subject to
{
abs(ax-ay)>=1;
}
and with python docplex you can write
from docplex.cp.model import CpoModel
mdl = CpoModel(name='buses')
x = mdl.integer_var(0,100000,name='x')
y = mdl.integer_var(0,100000,name='y')
mdl.add(mdl.abs(x/1000-y/1000)>=1);
mdl.minimize(mdl.log(mdl.abs(x/1000-y/1000)))
msol=mdl.solve()
print("x=",msol[x])
print("y=",msol[y])